Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques. - Sebastian Varela; Pruthvidhar Reddy Dhodda; William H. Hsu; P. V. Vara Prasad; Yared Assefa; Nahuel R. Peralta; Terry Griffin 002; Ajay Sharda; Allison Ferguson; Ignacio Antonio Ciampitti (Remote. Sens., 2018)

Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning. - Sebastian Varela; Taylor Pederson; Carl Bernacchi; Andrew D. B. Leakey (Remote. Sens., 2021)

Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better Predict Lodging Damage in Sorghum. - Sebastian Varela; Taylor Pederson; Andrew D. B. Leakey (Remote. Sens., 2022)

Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus. - Sebastian Varela; Xuying Zheng; Joyce N. Njuguna; Erik J. Sacks; Dylan P. Allen; Jeremy Ruhter; Andrew D. B. Leakey (Remote. Sens., 2022)