Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks. - Lei Zhao 014; Dugan Um; Kevin J. Nowka; Jose Luis Landivar-Scott; Juan Landivar 001; Mahendra Bhandari (Comput. Electron. Agric., 2024)

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. - Sambandh Bhusan Dhal; Stavros Kalafatis; Ulisses Braga-Neto; Krishna Chaitanya Gadepally; Jose Luis Landivar-Scott; Lei Zhao 014; Kevin J. Nowka; Juan Landivar 001; Pankaj Pal; Mahendra Bhandari (Remote. Sens., 2024)

Satellite vs uncrewed aircraft systems (UAS): Combining high-resolution SkySat and UAS images for cotton yield estimation. - Benjamin Ghansah; Jose Luis Landivar-Scott; Lei Zhao 014; Michael J. Starek; Jamie L. Foster; Juan Landivar-Bowles 001; Mahendra Bhandari (Comput. Electron. Agric., 2025)

Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting. - Pankaj Pal; Juan Landivar-Bowles 001; Jose Luis Landivar-Scott; Nick Duffield; Kevin J. Nowka; Jinha Jung; Anjin Chang; Kiju Lee; Lei Zhao 014; Mahendra Bhandari (Comput. Electron. Agric., 2025)