An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture. - Michael A. Beck; Chen-Yi Liu; Christopher P. Bidinosti; Christopher J. Henry; Cara M. Godee; Manisha Ajmani (CoRR, 2020)

Visualizing Feature Maps for Model Selection in Convolutional Neural Networks. - Sakib Mostafa; Debajyoti Mondal; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Ian Stavness (ICCVW, 2021)

Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture. - Michael A. Beck; Chen-Yi Liu; Christopher P. Bidinosti; Christopher J. Henry; Cara M. Godee; Manisha Ajmani (CoRR, 2021)

The TerraByte Client: providing access to terabytes of plant data. - Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Manisha Ajmani (CoRR, 2022)

Investigating classification learning curves for automatically generated and labelled plant images. - Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Manisha Ajmani (CoRR, 2022)

Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification. - Sakib Mostafa; Debajyoti Mondal; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Ian Stavness (Frontiers Artif. Intell., 2022)

Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks. - Oumaima Hamila; Christopher J. Henry; Oscar I. Molina; Christopher P. Bidinosti; Maria Antonia Henriquez (CoRR, 2023)

A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images. - Nooshin Noshiri; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry (CoRR, 2023)

Strategies and impact of learning curve estimation for CNN-based image classification. - Laura Didyk; Brayden Yarish; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry (CoRR, 2023)

Inside out: transforming images of lab-grown plants for machine learning applications in agriculture. - Alexander E. Krosney; Parsa Sotoodeh; Christopher J. Henry; Michael A. Beck; Christopher P. Bidinosti (Frontiers Artif. Intell., 2023)

A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping. - Joe Hrzich; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Kalhari Manawasinghe; Karen Tanino (CoRR, 2025)