معرفی
Bala Sapkota is a researcher affiliated with Texas A&M AgriLife Research and Extension Center in Temple, part of the Texas A&M University System's College of Agriculture & Life Sciences. He holds a Ph.D. in Agronomy from Texas A&M University, following an M.S. in Agronomy and B.S. in Agriculture Science from Tribhuwan University. His work focuses on precision agriculture technologies, integrating remote sensing (UAV, LiDAR, multispectral imagery) with machine learning to improve crop monitoring, irrigation management, and yield prediction.
Research interests include crop stand estimation, leaf area index quantification, nitrogen rate optimization for corn, and cotton production challenges in organic systems. He has developed decision support tools like the IDcrop mobile app for irrigation management. Sapkota’s studies also address pest management (e.g., South American Tomato Leaf Miner) and forage crop optimization in Central Texas agroecosystems.
His research spans field trials in corn, cotton, and legumes, emphasizing data-driven approaches to enhance agricultural sustainability and resource efficiency. Collaborations with AgriLife Extension ensure practical applications of his findings for farmers and policymakers.
