Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry. - Tanzeel U. Rehman; Qamar U. Zaman; Young K. Chang; Arnold W. Schumann; Kenneth W. Corscadden (Comput. Electron. Agric., 2019)

Estimation of water table depth using DUALEM-2 system. - Aitazaz A. Farooque; Fahad S. Khan; Qamar U. Zaman; T. J. Easu; Arnold W. Schumann (Comput. Electron. Agric., 2020)

Design and Development of a Smart Variable Rate Sprayer Using Deep Learning. - Nazar Hussain; Aitazaz A. Farooque; Arnold W. Schumann; Andrew McKenzie-Gopsill; Travis J. Esau; Farhat Abbas; Bishnu Acharya; Qamar U. Zaman (Remote. Sens., 2020)

Application of deep learning to detect Lamb's quarters (Chenopodium album L.) in potato fields of Atlantic Canada. - Nazar Hussain; Aitazaz A. Farooque; Arnold W. Schumann; Farhat Abbas; Bishnu Acharya; Andrew McKenzie-Gopsill; Ryan Barrett; Hassan Afzaal; Qamar U. Zaman; Muhammad Jehanzeb Masud Cheema (Comput. Electron. Agric., 2021)

Deep Learning Techniques for In-Crop Weed Identification: A Review. - Kun Hu; Zhiyong Wang 001; Guy R. Y. Coleman; Asher Bender; Tingting Yao; Shan Zeng; Dezhen Song; Arnold W. Schumann; Michael J. Walsh (CoRR, 2021)

Detection of a Potato Disease (Early Blight) Using Artificial Intelligence. - Hassan Afzaal; Aitazaz A. Farooque; Arnold W. Schumann; Nazar Hussain; Andrew McKenzie-Gopsill; Travis J. Esau; Farhat Abbas; Bishnu Acharya (Remote. Sens., 2021)

Hair Fescue and Sheep Sorrel Identification Using Deep Learning in Wild Blueberry Production. - Patrick Hennessy; Travis J. Esau; Aitazaz A. Farooque; Arnold W. Schumann; Qamar U. Zaman; Kenneth W. Corscadden (Remote. Sens., 2021)

A mobile application to identify poison ivy (Toxicodendron radicans) plants in real time using convolutional neural network. - Renato Herrig Furlanetto; Arnold W. Schumann; Nathan Boyd (Multim. Tools Appl., 2024)

PhytoSynth: Leveraging Multi-modal Generative Model for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach. - Nitin Rai; Arnold W. Schumann; Nathan Boyd (CVPR Workshops, 2025)

PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach. - Nitin Rai; Arnold W. Schumann; Nathan Boyd (CoRR, 2025)

Improving watermelon (Citrullus lanatus) disease classification with generative artificial intelligence (GenAI)-based synthetic and real-field images via a custom EfficientNetV2-L model. - Nitin Rai; Nathan Boyd; Gary E. Vallad; Arnold W. Schumann (CoRR, 2025)