Employing artificial neural network for effective biomass prediction: An alternative approach. - Sükrü Teoman Güner; Maria J. Diamantopoulou; Krishna P. Poudel; Aydin Çömez; Ramazan Özçelik (Comput. Electron. Agric., 2022)

Marginal agricultural land identification in the Lower Mississippi Alluvial Valley based on remote sensing and machine learning model. - Prakash Tiwari; Krishna P. Poudel; Jia Yang; Bruno Silva; Yun Yang; Mark McConnell (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Multi-output deep learning models for enhanced reliability of simultaneous tree above- and below-ground biomass predictions in tropical forests of Vietnam. - Bao Huy; Nguyen Quy Truong; Krishna P. Poudel; Hailemariam Temesgen; Nguyen Quy Khiem (Comput. Electron. Agric., 2024)