CVPR 2025 Open Access Repository

The 6th Annual International Workshop And Prize Challenge on Agriculture-Vision: Challenges and Opportunities for Computer Vision in Agriculture

California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops: Hamid Kamangir,

Mona Hajiesmaeeli,

J. Mason Earles; [pdf]
[bibtex]
@InProceedings{Kamangir_2025_CVPR, author = {Kamangir, Hamid and Hajiesmaeeli, Mona and Earles, J. Mason}, title = {California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5491-5500} }
Vit4V: a Video Classification Method for the Detection of Varroa Destructor from Honeybees: Luca Giovannesi,

Paolo Russo,

Roberto Beraldi; [pdf]
[bibtex]
@InProceedings{Giovannesi_2025_CVPR, author = {Giovannesi, Luca and Russo, Paolo and Beraldi, Roberto}, title = {Vit4V: a Video Classification Method for the Detection of Varroa Destructor from Honeybees}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5343-5351} }
SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets: Gerardus Croonen,

Andreas Trondl,

Julia Simon,

Daniel Steininger; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Croonen_2025_CVPR, author = {Croonen, Gerardus and Trondl, Andreas and Simon, Julia and Steininger, Daniel}, title = {SemanticSugarBeets: A Multi-Task Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5433-5442} }
An Efficient and Scalable Framework for Lightweight Crop Disease Recognition in Low-Resource Settings: Tushar Shinde; [pdf]
[bibtex]
@InProceedings{Shinde_2025_CVPR, author = {Shinde, Tushar}, title = {An Efficient and Scalable Framework for Lightweight Crop Disease Recognition in Low-Resource Settings}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5534-5541} }
Few-Shot Adaptation of Grounding DINO for Agricultural Domain: Rajhans Singh,

Rafael Bidese,

Kshitiz Dhakal,

Sudhir Sornapudi; [pdf] [arXiv]
[bibtex]
@InProceedings{Singh_2025_CVPR, author = {Singh, Rajhans and Bidese, Rafael and Dhakal, Kshitiz and Sornapudi, Sudhir}, title = {Few-Shot Adaptation of Grounding DINO for Agricultural Domain}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5332-5342} }
Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce: Manuel Knott,

Divinefavour Odion,

Sameer Sontakke,

Anup Karwa,

Thijs Defraeye; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Knott_2025_CVPR, author = {Knott, Manuel and Odion, Divinefavour and Sontakke, Sameer and Karwa, Anup and Defraeye, Thijs}, title = {Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5462-5471} }
A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards: Tieqiao Wang,

Abhinav Jain,

Liqiang He,

Cindy Grimm,

Sinisa Todorovic; [pdf]
[bibtex]
@InProceedings{Wang_2025_CVPR, author = {Wang, Tieqiao and Jain, Abhinav and He, Liqiang and Grimm, Cindy and Todorovic, Sinisa}, title = {A Dataset for Semantic and Instance Segmentation of Modern Fruit Orchards}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5381-5391} }
Maximizing aerial detection of organic objects in non-exhaustively searchable survey area: Amir Niaraki,

Jansel Herrera-Gerena,

Jeremy Roghair,

Ali Jannesari; [pdf]
[bibtex]
@InProceedings{Niaraki_2025_CVPR, author = {Niaraki, Amir and Herrera-Gerena, Jansel and Roghair, Jeremy and Jannesari, Ali}, title = {Maximizing aerial detection of organic objects in non-exhaustively searchable survey area}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5482-5490} }
Maize ear sensing for on-farm yield predictions: Pedro Cisdeli,

Gustavo Nocera Santiago,

German Mandrini,

Ignacio Ciampitti; [pdf]
[bibtex]
@InProceedings{Cisdeli_2025_CVPR, author = {Cisdeli, Pedro and Santiago, Gustavo Nocera and Mandrini, German and Ciampitti, Ignacio}, title = {Maize ear sensing for on-farm yield predictions}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5402-5411} }
MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking: Numair Nadeem,

Muhammad Hamza Asad,

Saeed Anwar,

Abdul Bais; [pdf] [arXiv]
[bibtex]
@InProceedings{Nadeem_2025_CVPR, author = {Nadeem, Numair and Asad, Muhammad Hamza and Anwar, Saeed and Bais, Abdul}, title = {MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5422-5432} }
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications: Kibon Ku,

Talukder Z. Jubery,

Elijah Rodriguez,

Aditya Balu,

Soumik Sarkar,

Adarsh Krishnamurthy,

Baskar Ganapathysubramanian; [pdf]
[bibtex]
@InProceedings{Ku_2025_CVPR, author = {Ku, Kibon and Jubery, Talukder Z. and Rodriguez, Elijah and Balu, Aditya and Sarkar, Soumik and Krishnamurthy, Adarsh and Ganapathysubramanian, Baskar}, title = {SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5472-5481} }
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification: Earl Ranario,

Lars Lundqvist,

Heesup Yun,

Brian N. Bailey,

J. Mason Earles; [pdf] [arXiv]
[bibtex]
@InProceedings{Ranario_2025_CVPR, author = {Ranario, Earl and Lundqvist, Lars and Yun, Heesup and Bailey, Brian N. and Earles, J. Mason}, title = {AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5392-5401} }
Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting: Daiwei Zhang,

Joaquin Gajardo,

Tomislav Medic,

Isinsu Katircioglu,

Mike Boss,

Norbert Kirchgessner,

Achim Walter,

Lukas Roth; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2025_CVPR, author = {Zhang, Daiwei and Gajardo, Joaquin and Medic, Tomislav and Katircioglu, Isinsu and Boss, Mike and Kirchgessner, Norbert and Walter, Achim and Roth, Lukas}, title = {Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5360-5370} }
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species: Naitik Jain,

Amogh Joshi,

Mason Earles; [pdf]
[bibtex]
@InProceedings{Jain_2025_CVPR, author = {Jain, Naitik and Joshi, Amogh and Earles, Mason}, title = {iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5501-5510} }
AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards: Laura-Sophia von Hirschhausen,

Jannes S. Magnusson,

Mykyta Kovalenko,

Fredrik Boye,

Tanay Rawat,

Peter Eisert,

Anna Hilsmann,

Sebastian Pretzsch,

Sebastian Bosse; [pdf] [arXiv]
[bibtex]
@InProceedings{von_Hirschhausen_2025_CVPR, author = {von Hirschhausen, Laura-Sophia and Magnusson, Jannes S. and Kovalenko, Mykyta and Boye, Fredrik and Rawat, Tanay and Eisert, Peter and Hilsmann, Anna and Pretzsch, Sebastian and Bosse, Sebastian}, title = {AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5443-5450} }
SoyStageNet: Balancing Accuracy and Efficiency for Real-Time Soybean Growth Stage Detection: Abdellah Lakhssassi,

Toqi Tahamid Sarker,

Khaled Ahmed,

Naoufal Lakhssassi,

Khalid Meksem; [pdf]
[bibtex]
@InProceedings{Lakhssassi_2025_CVPR, author = {Lakhssassi, Abdellah and Sarker, Toqi Tahamid and Ahmed, Khaled and Lakhssassi, Naoufal and Meksem, Khalid}, title = {SoyStageNet: Balancing Accuracy and Efficiency for Real-Time Soybean Growth Stage Detection}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5524-5533} }
Effectiveness of Training with Procedurally Generated Synthetic Images of Crop Plants: Nazifa Khan,

Mikolaj Cieslak,

Mark Eramian,

Ian McQuillan; [pdf]
[bibtex]
@InProceedings{Khan_2025_CVPR, author = {Khan, Nazifa and Cieslak, Mikolaj and Eramian, Mark and McQuillan, Ian}, title = {Effectiveness of Training with Procedurally Generated Synthetic Images of Crop Plants}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5451-5461} }
Agri-FM+: A Self-Supervised Foundation Model for Agricultural Vision: Md Jaber Al Nahian,

Tapotosh Ghosh,

Farnaz Sheikhi,

Farhad Maleki; [pdf]
[bibtex]
@InProceedings{Al_Nahian_2025_CVPR, author = {Al Nahian, Md Jaber and Ghosh, Tapotosh and Sheikhi, Farnaz and Maleki, Farhad}, title = {Agri-FM+: A Self-Supervised Foundation Model for Agricultural Vision}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5511-5523} }
PhytoSynth: Leveraging Multi-modal Generative Model for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach: Nitin Rai,

Arnold Schumann,

Nathan Boyd; [pdf] [arXiv]
[bibtex]
@InProceedings{Rai_2025_CVPR, author = {Rai, Nitin and Schumann, Arnold and Boyd, Nathan}, title = {PhytoSynth: Leveraging Multi-modal Generative Model for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5371-5380} }
Multiple Instance Learning for Visual Grain Quality Analysis Without Instance-level Annotation: Bradley Ezard,

Ling Li,

Senjian An; [pdf]
[bibtex]
@InProceedings{Ezard_2025_CVPR, author = {Ezard, Bradley and Li, Ling and An, Senjian}, title = {Multiple Instance Learning for Visual Grain Quality Analysis Without Instance-level Annotation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5352-5359} }
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation: Keyhan Najafian,

Farhad Maleki,

Lingling Jin,

Ian Stavness; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Najafian_2025_CVPR, author = {Najafian, Keyhan and Maleki, Farhad and Jin, Lingling and Stavness, Ian}, title = {A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5412-5421} }