Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture

Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification

Ziqiao Wang,

Hongyan Zhang,

Wei He,

Liangpei Zhang

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Ziqiao and Zhang, Hongyan and He, Wei and Zhang, Liangpei}, title = {Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2940-2949} }

Multi-Resolution Outlier Pooling for Sorghum Classification

Chao Ren,

Justin Dulay,

Gregory Rolwes,

Duke Pauli,

Nadia Shakoor,

Abby Stylianou

[pdf] [arXiv]

[bibtex]

@InProceedings{Ren_2021_CVPR, author = {Ren, Chao and Dulay, Justin and Rolwes, Gregory and Pauli, Duke and Shakoor, Nadia and Stylianou, Abby}, title = {Multi-Resolution Outlier Pooling for Sorghum Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2931-2939} }

Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress From Aerial Imagery

Saba Dadsetan,

David Pichler,

David Wilson,

Naira Hovakimyan,

Jennifer Hobbs

[pdf] [arXiv]

[bibtex]

@InProceedings{Dadsetan_2021_CVPR, author = {Dadsetan, Saba and Pichler, David and Wilson, David and Hovakimyan, Naira and Hobbs, Jennifer}, title = {Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress From Aerial Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2950-2959} }

Towards Computer Vision and Deep Learning Facilitated Pollination Monitoring for Agriculture

Malika Nisal Ratnayake,

Adrian G. Dyer,

Alan Dorin

[pdf]

[bibtex]

@InProceedings{Ratnayake_2021_CVPR, author = {Ratnayake, Malika Nisal and Dyer, Adrian G. and Dorin, Alan}, title = {Towards Computer Vision and Deep Learning Facilitated Pollination Monitoring for Agriculture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2921-2930} }

Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds

Kim Jensen,

Oskar Kondrup Krogh,

Marius Willemoes Jorgensen,

Daniel Lehotsky,

Anton Bock Andersen,

Ernest Porqueras,

Jens Aksel S. Sondergaard,

Rikke Gade

[pdf]

[bibtex]

@InProceedings{Jensen_2021_CVPR, author = {Jensen, Kim and Krogh, Oskar Kondrup and Jorgensen, Marius Willemoes and Lehotsky, Daniel and Andersen, Anton Bock and Porqueras, Ernest and Sondergaard, Jens Aksel S. and Gade, Rikke}, title = {Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2912-2920} }

Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images

Shubham Innani,

Prasad Dutande,

Bhakti Baheti,

Sanjay Talbar,

Ujjwal Baid

[pdf]

[bibtex]

@InProceedings{Innani_2021_CVPR, author = {Innani, Shubham and Dutande, Prasad and Baheti, Bhakti and Talbar, Sanjay and Baid, Ujjwal}, title = {Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2960-2968} }