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Paper Citation Record · LEDGER

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

As of 19 August 2026, this Paper Citation Record lists 100 of 153 outbound references and 4 inbound Pith citation observations for arXiv:2505.18930.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.18930 v1

Coverage vector

measured 100 of 153 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:22.489901Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:40:21.928710Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 153 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved75
  • parse uncertain0
  • malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6d6de16a-6a1f-40d4-a12a-df32e79b7e5b · outbound

This paper cites Principles in weed management.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Principles in weed management

Reference 1

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Observation 1abc32eb-4b75-4a43-9336-5e152cbb9080 · outbound

This paper cites Potential corn yield losses from weeds in North America.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Potential corn yield losses from weeds in North America

Reference 2

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Observation 80519cd2-f655-4505-b2dd-77e386eceeb6 · outbound

This paper cites Potential wheat yield loss due to weeds in the United States and Canada.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Potential wheat yield loss due to weeds in the United States and Canada

Reference 3

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Observation d827bbe2-3b28-45ee-8c81-e9a86988224a · outbound

This paper cites Potential yield loss in dry bean crops due to weeds in the United States and Canada.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Potential yield loss in dry bean crops due to weeds in the United States and Canada

Reference 4

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Observation bff539b5-f0a5-42a8-971f-1c85dceb2dca · outbound

This paper cites Site-specific weed control technologies.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Site-specific weed control technologies

Reference 5

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Observation 483c956f-c19c-4eb6-a3a0-033302f848f7 · outbound

This paper cites What are Invasive Species? Accessed: 2025-03-.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification What are Invasive Species? Accessed: 2025-03-

Reference 6

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Observation 86cedab9-bb62-4f9d-b48e-0f1bc77160f4 · outbound

This paper cites Leafy spurge effects on patterns of plant species richness.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Leafy spurge effects on patterns of plant species richness

Reference 7

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Observation c0b8b9fa-e82e-401f-93d3-05b7dd1725c0 · outbound

This paper cites Palmer ama- ranth (Amaranthus palmeri) adaptation to US Midwest agroecosystems.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Palmer ama- ranth (Amaranthus palmeri) adaptation to US Midwest agroecosystems

Reference 8

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Observation 6454ead9-f417-49b5-b9fc-729d4ff3e19a · outbound

This paper cites Early detection, herbicide resistance screening, and integrated management of invasive plant species: a review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Early detection, herbicide resistance screening, and integrated management of invasive plant species: a review

Reference 9

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Observation f963832e-7c6c-4ea4-a986-73f2cdf0a3e6 · outbound

This paper cites Herbicide-resistant crops: utilities and limitations for herbicide- resistant weed management.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Herbicide-resistant crops: utilities and limitations for herbicide- resistant weed management

Reference 10

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Observation 616fc40e-c568-4cd5-85bb-6226155ae93f · outbound

This paper cites Genetically engineered herbicide-resistant crops and herbicide-resistant weed evo- lution in the United States.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Genetically engineered herbicide-resistant crops and herbicide-resistant weed evo- lution in the United States

Reference 11

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Observation cb88b199-78d0-4e17-9ad3-b57fdb704f1c · outbound

This paper cites Comparing responses of sensitive and resistant popula- tions of Palmer amaranth (Amaranthus palmeri) and waterhemp (Amaranthus tuberculatus var.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Comparing responses of sensitive and resistant popula- tions of Palmer amaranth (Amaranthus palmeri) and waterhemp (Amaranthus tuberculatus var

Reference 12

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Observation 33178301-d5cb-44da-9fe1-4e55b59d1e5c · outbound

This paper cites Weed Science Society of America Database.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Weed Science Society of America Database

Reference 13

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Observation 1dd382b5-6bea-487e-b86d-d2999965a4ef · outbound

This paper cites Weed identification and integrated control.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Weed identification and integrated control

Reference 14

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Observation 9230c1ec-ab24-4afa-8a3c-a614a8cf1849 · outbound

This paper cites Advancements and developments in the detection and control of invasive weeds: A global review of the current challenges and future opportunities.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Advancements and developments in the detection and control of invasive weeds: A global review of the current challenges and future opportunities

Reference 15

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Observation 6a26ca0b-f635-4adf-8bd3-7dabe7a6c549 · outbound

This paper cites Invaders in disguise.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Invaders in disguise

Reference 16

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Observation 2fe749c0-200e-4263-938d-53e8b6685e5c · outbound

This paper cites Invasive plants with native lookalikes: How mistaken identities can lead to more significant plant invasions and delay management.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Invasive plants with native lookalikes: How mistaken identities can lead to more significant plant invasions and delay management

Reference 17

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Observation fad45225-3ca0-419c-96de-d32419966317 · outbound

This paper cites Weed and corn seedling detection in field based on multi feature fusion and support vector machine.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Weed and corn seedling detection in field based on multi feature fusion and support vector machine

Reference 18

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Observation 44fd4902-62fe-48fd-b2c2-33c482bc5b1d · outbound

This paper cites Fully-automatic natural plant recognition system using deep neural network for dynamic outdoor environments.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Fully-automatic natural plant recognition system using deep neural network for dynamic outdoor environments

Reference 19

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Observation 767f6053-975c-462a-8e74-b4190d8877d7 · outbound

This paper cites The rationale for monitoring invasive plant populations as a crucial step for management.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification The rationale for monitoring invasive plant populations as a crucial step for management

Reference 20

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Observation 273693f4-f901-47d1-a7d6-4bfa85d8ef7d · outbound

This paper cites Biology, ecology and management of the invasive parthenium weed (Parthenium hysterophorus L.) Pest management science 2014;70:1023–9.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Biology, ecology and management of the invasive parthenium weed (Parthenium hysterophorus L.) Pest management science 2014;70:1023–9

Reference 21

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Observation 18e8d995-411a-4ab1-891e-fb660a73fa56 · outbound

This paper cites A comprehensive survey on weed and crop classification using machine learning and deep learning.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A comprehensive survey on weed and crop classification using machine learning and deep learning

Reference 22

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Observation 1a6ee3d1-7658-4c36-a5b4-c0ae949f5604 · outbound

This paper cites A Comprehensive Survey of Weed Detection and Classi- fication Datasets for Precision Agriculture.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A Comprehensive Survey of Weed Detection and Classi- fication Datasets for Precision Agriculture

Reference 23

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Observation c9b2e960-5eaf-45ef-a669-4ea1c8d5c1f0 · outbound

This paper cites Weed detection using deep learning: A systematic literature review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Weed detection using deep learning: A systematic literature review

Reference 24

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Observation 545087fa-9cb8-4ff8-ab6d-b74bc7077484 · outbound

This paper cites Deep learning techniques to clas- sify agricultural crops through UAV imagery: A review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Deep learning techniques to clas- sify agricultural crops through UAV imagery: A review

Reference 25

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Observation d700aafb-ff1b-4ea5-9343-c2fc3a3b9ac7 · outbound

This paper cites Advances in ground robotic technologies for site- specific weed management in precision agriculture: A review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Advances in ground robotic technologies for site- specific weed management in precision agriculture: A review

Reference 26

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Observation 06538ce6-8d93-45c8-baad-68380fb63584 · outbound

This paper cites url: https://www.invasivespeciesinfo.gov/what-are-invasive-species.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification url: https://www.invasivespeciesinfo.gov/what-are-invasive-species

Reference 27

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Observation a41e62d5-20c3-4ce2-a413-b50abfbdc7fd · outbound

This paper cites Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations

Reference 28

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Observation 33572861-e7d3-4df1-b65b-9a56099193aa · outbound

This paper cites Plant disease detection and classification by deep learning—a review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Plant disease detection and classification by deep learning—a review

Reference 29

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Observation e0bd9553-f21d-49b9-a8b0-78b4650572ff · outbound

This paper cites Plant leaf disease detection, classification, and diagnosis using computer vision and artificial intelli- gence: A review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Plant leaf disease detection, classification, and diagnosis using computer vision and artificial intelli- gence: A review

Reference 30

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Observation cfb147b3-c351-4519-8a86-36de00ffcfa0 · outbound

This paper cites Artificial- intelligence and sensing techniques for the management of insect pests and diseases in cotton: a systematic literature review.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Artificial- intelligence and sensing techniques for the management of insect pests and diseases in cotton: a systematic literature review

Reference 31

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Observation 7c3410fe-8e52-4dc7-8b28-928792393dcd · outbound

This paper cites InsectNet: Real-time identification of insects using an end-to-end machine learning pipeline.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification InsectNet: Real-time identification of insects using an end-to-end machine learning pipeline

Reference 32

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Observation 67b724c6-5753-49a1-b08b-763b6f24e854 · outbound

This paper cites Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Reference 33

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Observation 83863443-3230-4f26-a13f-92d7869281b9 · outbound

This paper cites Deep learning in image-based plant phenotyping.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Deep learning in image-based plant phenotyping

Reference 34

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Observation 54892347-85a5-4100-8989-c6184ea6dbf3 · outbound

This paper cites Weed database development: An updated survey of public weed datasets and cross-season weed detection adaptation.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Weed database development: An updated survey of public weed datasets and cross-season weed detection adaptation

Reference 35

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This paper cites Identification of weeds based on hyperspectral imaging and machine learning.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Identification of weeds based on hyperspectral imaging and machine learning

Reference 36

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Observation 1d3dd937-10c3-41a0-bd65-469e8037fcc6 · outbound

This paper cites Pre-harvest weed mapping of Cirsium arvense L.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Pre-harvest weed mapping of Cirsium arvense L

Reference 37

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This paper cites Using single- and multi-date UAV and satellite imagery to accurately monitor invasive knotweed species.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Using single- and multi-date UAV and satellite imagery to accurately monitor invasive knotweed species

Reference 38

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This paper cites PlantCLEF2023: A Bigger Training Dataset Contributes More than Advanced Pretraining Methods for Plant Identification.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification PlantCLEF2023: A Bigger Training Dataset Contributes More than Advanced Pretraining Methods for Plant Identification

Reference 39

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This paper cites Overview of PlantCLEF 2023: image-based plant identifica- tion at global scale.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Overview of PlantCLEF 2023: image-based plant identifica- tion at global scale

Reference 40

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Observation 90ca32e2-d82d-4d25-b293-3d45f6ea510b · outbound

This paper cites Overview of lifeclef 2024: Challenges on species distribution prediction and identification.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Overview of lifeclef 2024: Challenges on species distribution prediction and identification

Reference 41

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This paper cites Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems

Reference 42

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Observation fb1d497e-cdc3-4ec9-a194-753fc8cf8427 · outbound

This paper cites A survey of public datasets for computer vision tasks in precision agricul- ture.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A survey of public datasets for computer vision tasks in precision agricul- ture

Reference 43

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Observation dff399f0-ef25-4c84-9ff5-912fce9ebfc0 · outbound

This paper cites A novel automated cloud-based image datasets for high throughput phenotyping in weed classification.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A novel automated cloud-based image datasets for high throughput phenotyping in weed classification

Reference 44

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This paper cites Automated approaches for the early stage distinguishing of Palmer amaranth from waterhemp.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Automated approaches for the early stage distinguishing of Palmer amaranth from waterhemp

Reference 45

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This paper cites Environmental and management factors determining weed species composition and diversity in France.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Environmental and management factors determining weed species composition and diversity in France

Reference 46

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This paper cites Observation: 180115803.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Observation: 180115803

Reference 47

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Observation 56ee8f91-766d-468f-9399-946eb89a4968 · outbound

This paper cites an unresolved cited work.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Unresolved cited work

Reference 48

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Observation 8b855225-a22b-4262-8222-c176c73dcf3c · outbound

This paper cites Classification of crops and weeds from digital images: A support vector machine approach.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Classification of crops and weeds from digital images: A support vector machine approach

Reference 49

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Observation 767c55ec-4cc0-49bf-8a1a-eec5069fbf02 · outbound

This paper cites Evaluation of support vector machine and artificial neural networks in weed detection using shape features.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Evaluation of support vector machine and artificial neural networks in weed detection using shape features

Reference 50

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Observation d3fd3299-05f3-49b8-85a4-ea151fdf5e4d · outbound

This paper cites Identification of weeds in sugarcane fields through images taken by UAV and Random Forest classifier.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Identification of weeds in sugarcane fields through images taken by UAV and Random Forest classifier

Reference 51

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Observation 7648cdb9-ee3f-4545-821d-0caa1cc2831d · outbound

This paper cites Performance evaluation of deep transfer learning on multi- class identification of common weed species in cotton production systems.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Performance evaluation of deep transfer learning on multi- class identification of common weed species in cotton production systems

Reference 52

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Observation b633fdd2-621e-440f-9aa1-57eebe3de2fc · outbound

This paper cites Graph weeds net: A graph-based deep learn- ing method for weed recognition.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Graph weeds net: A graph-based deep learn- ing method for weed recognition

Reference 53

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Observation b0d42b63-432a-45e9-a30b-f264e29f34dd · outbound

This paper cites Deep-cnn based robotic multi-class under-canopy weed control in precision farming.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Deep-cnn based robotic multi-class under-canopy weed control in precision farming

Reference 54

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Observation 1cb7b778-91c8-446e-b3ba-b276beb53b14 · outbound

This paper cites DeepWeeds: A multiclass weed species image dataset for deep learning.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification DeepWeeds: A multiclass weed species image dataset for deep learning

Reference 55

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Observation 50ec5ea6-8f4b-42ae-a0cc-11d97436dc13 · outbound

This paper cites A novel semi-supervised framework for UAV based crop/weed classification.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A novel semi-supervised framework for UAV based crop/weed classification

Reference 56

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Observation 1dce6953-cfe5-4646-8d5a-d7629abbac99 · outbound

This paper cites Semi-supervised learning for weed and crop segmentation using UAV imagery.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Semi-supervised learning for weed and crop segmentation using UAV imagery

Reference 57

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Observation fe426780-1aea-4638-90e8-c213fd6a7380 · outbound

This paper cites Reducing domain gap by reducing style bias.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Reducing domain gap by reducing style bias

Reference 58

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Observation 792b32ee-47f2-4f87-9a96-031288805c28 · outbound

This paper cites Attention is all you need.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Attention is all you need

Reference 59

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Observation 72548dcd-9504-4f8f-b734-e5e455cb81fa · outbound

This paper cites Development and testing of an image transformer for explainable autonomous driving systems.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Development and testing of an image transformer for explainable autonomous driving systems

Reference 60

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Observation a83ff3a7-1154-471f-924b-12d8d3fa3b88 · outbound

This paper cites FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection

Reference 61

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Observation 8147e0d8-2524-4efb-b960-368d15e6853d · outbound

This paper cites A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability

Reference 62

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Observation 3c9146b9-0f4f-44e2-b373-c53ed2f97dd0 · outbound

This paper cites Trust, but verify: Using self-supervised probing to improve trustworthiness.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Trust, but verify: Using self-supervised probing to improve trustworthiness

Reference 63

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Observation 95144edd-3abf-440a-9ccf-fb9ff6f68953 · outbound

This paper cites How useful is active learning for image-based plant phenotyping? The Plant Phenome Journal 2021;4:e20020.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification How useful is active learning for image-based plant phenotyping? The Plant Phenome Journal 2021;4:e20020

Reference 64

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Observation 1bb1ff21-1997-485a-8295-d18f7cf98cc6 · outbound

This paper cites Changes in functional diversity and intraspecific trait variability of weeds in response to crop sequences and climate.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Changes in functional diversity and intraspecific trait variability of weeds in response to crop sequences and climate

Reference 65

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Observation 27c79ac9-a494-474b-9eac-507c0dc6d645 · outbound

This paper cites The evolution of weeds.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification The evolution of weeds

Reference 66

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Observation d749ccd4-3099-48bc-9abf-b39076651e3e · outbound

This paper cites Matching the origin of an invasive weed for selection of a herbivore haplotype for a biological control programme.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Matching the origin of an invasive weed for selection of a herbivore haplotype for a biological control programme

Reference 67

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Observation ae83cf02-8be5-45e5-abce-a3baeb5a90be · outbound

This paper cites Herbicides: Environmental Impact Studies and Management Approaches.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Herbicides: Environmental Impact Studies and Management Approaches

Reference 68

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Observation 31d32085-3d48-4540-848a-2dc2b9436f4f · outbound

This paper cites Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects

Reference 69

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Observation 6283e9ea-c85d-4eb8-a122-661c3622fc7e · outbound

This paper cites Invasive Plants and their Native Look-alikes: An Identification Guide for the Mid-Atlantic.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Invasive Plants and their Native Look-alikes: An Identification Guide for the Mid-Atlantic

Reference 70

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Observation 5a17cca7-2e2b-4cf5-97dd-77380fd7001e · outbound

This paper cites Integrative analysis of chloroplast genome, chemicals, and illustrations in Bencao literature provides insights into the medicinal value of Peucedanum huangshanense.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Integrative analysis of chloroplast genome, chemicals, and illustrations in Bencao literature provides insights into the medicinal value of Peucedanum huangshanense

Reference 71

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Observation 995da3aa-de53-4b02-a067-b64063108232 · outbound

This paper cites Know Your Foxtail.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Know Your Foxtail

Reference 72

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Observation f57a23eb-a34f-415a-8e7d-d4ac99a488af · outbound

This paper cites Witchweed (Striga asiatica): an overview of management strategies in the USA.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Witchweed (Striga asiatica): an overview of management strategies in the USA

Reference 73

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Observation ddd463ce-2b6e-4fdf-8f07-69c6b65ebada · outbound

This paper cites Predicting Kudzu (Pueraria mon- tana) spread and its economic impacts in timber industry: A case study from Oklahoma.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Predicting Kudzu (Pueraria mon- tana) spread and its economic impacts in timber industry: A case study from Oklahoma

Reference 74

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Observation 713b0e69-6012-4082-adc2-a5d1457f85c9 · outbound

This paper cites The economic cost of invasive non-native species on Great Britain.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification The economic cost of invasive non-native species on Great Britain

Reference 75

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Observation 02ba2b88-85d1-4bb2-8483-11227544a509 · outbound

This paper cites Evaluation of foliar-applied post-emergence corn–soybean herbicides on giant ragweed and waterhemp control in Wisconsin.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Evaluation of foliar-applied post-emergence corn–soybean herbicides on giant ragweed and waterhemp control in Wisconsin

Reference 76

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 65cd96a3-3b1d-4a38-831b-f8deee8ea07f · outbound

This paper cites Biology and management of the spotted lanternfly, Lycorma delicatula (Hemiptera: Fulgoridae), in the United States.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Biology and management of the spotted lanternfly, Lycorma delicatula (Hemiptera: Fulgoridae), in the United States

Reference 77

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 09e3d4d2-891b-4396-934b-4743d6fc41f4 · outbound

This paper cites European buckthorn and Asian soybean aphid as components of an extensive invasional meltdown in North America.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification European buckthorn and Asian soybean aphid as components of an extensive invasional meltdown in North America

Reference 78

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 33530752-72e1-425d-a228-932b1e01e0b2 · outbound

This paper cites Lack of transmission of Sugarcane yellow leaf virus in Florida from Columbus grass and sugarcane to sugarcane with aphids or mites.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Lack of transmission of Sugarcane yellow leaf virus in Florida from Columbus grass and sugarcane to sugarcane with aphids or mites

Reference 79

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 60363ec3-9040-4c02-a306-f6d37962a89a · outbound

This paper cites Stem rust on barberry species in Europe: Host specificities and genetic diversity.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Stem rust on barberry species in Europe: Host specificities and genetic diversity

Reference 80

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c4002d79-ea63-4c85-83ca-766d466f806e · outbound

This paper cites Ecology and management of kudzu bug (Hemiptera: Plataspidae) in Southeastern soybeans.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Ecology and management of kudzu bug (Hemiptera: Plataspidae) in Southeastern soybeans

Reference 81

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e13f8d34-24ea-4b3b-8059-43d745e4e199 · outbound

This paper cites Challenges in deploying machine learning: a survey of case studies.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Challenges in deploying machine learning: a survey of case studies

Reference 82

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3997cc06-9f96-402b-a84d-c0d5d2579e9c · outbound

This paper cites Cyber-agricultural systems for crop breed- ing and sustainable production.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Cyber-agricultural systems for crop breed- ing and sustainable production

Reference 83

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bd287d84-1bc5-41ab-9b8d-5c35d96182ec · outbound

This paper cites Plant Identification Apps: Not All Are Created Equal.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Plant Identification Apps: Not All Are Created Equal

Reference 84

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ce623e4d-ff91-4907-b795-c17c06453fd3 · outbound

This paper cites Plant identification? There’s an app for that – actually several.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Plant identification? There’s an app for that – actually several

Reference 85

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6b3c7658-20bb-44c5-a0ea-389cea55c261 · outbound

This paper cites Wilds: A benchmark of in-the-wild distribution shifts.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Wilds: A benchmark of in-the-wild distribution shifts

Reference 86

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8c1e5202-e41b-4c69-bfa6-82457ea983c4 · outbound

This paper cites Thomas unterthiner mostafa dehghani matthias minderer georg heigold sylvain gelly jakob uszkoreit and neil houlsby.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Thomas unterthiner mostafa dehghani matthias minderer georg heigold sylvain gelly jakob uszkoreit and neil houlsby

Reference 87

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:27:22.383350Z digest=sha256:47407896015b236272d00cfbfe4d5c41342ad0cf2c6e6cfb347eab43088781b8

Observation 56bf3084-6c7d-41e7-a53b-0de3ebe9003a · outbound

This paper cites A survey of transfer learning.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A survey of transfer learning

Reference 88

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cdc26c98-f234-4e9a-8274-f555b1dabd15 · outbound

This paper cites CNN features off-the-shelf: an astounding baseline for recognition.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification CNN features off-the-shelf: an astounding baseline for recognition

Reference 89

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 616f69d8-ade7-4193-a2f2-ba5daa60e612 · outbound

This paper cites iNaturalist: Observations and User Statistics.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification iNaturalist: Observations and User Statistics

Reference 90

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raw_fallback, observed 2026-08-07T14:27:24.736365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6b463c89-0b1b-4239-94a5-031f4ad237e5 · outbound

This paper cites Invasive Species Profiles List.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Invasive Species Profiles List

Reference 91

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raw_fallback, observed 2026-08-07T14:27:24.710223Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1aa0f574-5915-44c0-8a13-f5ab2a3e7a2e · outbound

This paper cites Midwest Invasive Plant List.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Midwest Invasive Plant List

Reference 92

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raw_fallback, observed 2026-08-07T14:27:24.689648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:27:22.426767Z digest=sha256:5200d081c68e8b3cc8c7340bbf8f203f898448e7fffe071aabfa88946529cd39

Observation 5cec1034-7fcc-4d6d-9c43-aff001200b48 · outbound

This paper cites Invasive and Exotic Weeds.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Invasive and Exotic Weeds

Reference 93

Resolution
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raw_fallback, observed 2026-08-07T14:27:24.661748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d0cf14c1-a3e7-47e3-b503-4462a4ea9bae · outbound

This paper cites Revisiting weakly supervised pre-training of visual perception models.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Revisiting weakly supervised pre-training of visual perception models

Reference 94

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 386ab763-74db-400e-8807-ddd9cdd4cdd4 · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Exploring the limits of weakly supervised pretraining

Reference 95

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dc29da51-6305-4a03-827f-472dce13eadd · outbound

This paper cites Learning useful representations in a deep network with a local denoising criterion, Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Learning useful representations in a deep network with a local denoising criterion, Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol

Reference 96

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raw_fallback, observed 2026-08-07T14:27:24.584246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 17ec636e-4aef-4d99-a2ed-bf5825adb2a1 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification A simple framework for contrastive learning of visual representations

Reference 97

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raw_fallback, observed 2026-08-07T14:27:24.561124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:27:22.462118Z digest=sha256:6a06c03707eb1256dca4aef3c2396197b1c4597d6c78cebb53764fa7e2c405ad

Observation 1d08f066-fcfe-41b4-938a-30baa83653f0 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Self-supervised learning from images with a joint-embedding predictive architecture

Reference 98

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raw_fallback, observed 2026-08-07T14:27:24.540132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:27:22.471722Z digest=sha256:7bf27b86845d8fac134f9cf486e4f9fb994a97b716b6d0b90f7001793ce017f2

Observation ed58f8cf-0db3-4d4a-a1f8-985557e808cb · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 99

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:22.482394Z digest=sha256:c69d95fa548a5ef01d31764748d302aeedb161b329acf1e1f3fbf92df2658e6c

Observation d180e3c5-6260-4ec1-aad7-2660cb3e212e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 100

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source=pdf_text observed=2026-08-07T14:27:22.489901Z digest=sha256:c9410ee4e1efbb922a06e11e904f7d2ce822b980ba98be110af184b1072406e4

Pith citing papers

Observation 1872dc0c-857b-4099-8f61-17f957375852 · inbound

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data cites this paper.

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 28

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no resolver link, observed 2026-08-04T22:55:16.974394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:55:16.974394Z digest=sha256:d7b09cefa3918404ce3b5489c7f3cec9c2d18b25fe43868ccb303947a503deb2

Observation 096ec1f1-9b4c-4211-a47c-89338f9eb598 · inbound

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision cites this paper.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T17:16:49.942524Z digest=sha256:4553d9c42ecec6309367da38bf164728cacdf6ea15d2d70030d721f8b14d4da8

Observation 30379945-3d79-4d94-8b9e-77bc294d5ddd · inbound

SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis cites this paper.

SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:26:18.529470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 033695e6-e9a0-4384-9b6c-5fd74b892e66 · inbound

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining cites this paper.

AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 71

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unresolved
no resolver link, observed 2026-08-12T00:40:21.928710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:40:21.928710Z digest=sha256:d8af7e8569ec2d08bb2edf04d7b1ff4349826faa2f67200d48424bae78f8cf8e