Christopher P. Bidinosti

According to our database, Christopher P. Bidinosti authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Generative diffusion models for agricultural AI: Plant image generation, indoor-to-outdoor translation, and expert preference alignment.

Da Tan, Michael A. Beck, Christopher P. Bidinosti, Robert H. Gulden, Christopher J. Henry

Comput. Electron. Agric., 2026

2025

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, April, 2025

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., February, 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

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

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

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

Investigating classification learning curves for automatically generated and labelled plant images.

Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Manisha Ajmani

CoRR, 2022

The TerraByte Client: providing access to terabytes of plant data.

Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Manisha Ajmani

CoRR, 2022

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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

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