Juan Enciso

Juan Enciso is Professor of Biological and Agricultural Engineering at Texas A&M University, specializing in irrigation system design, water management, and precision agriculture technologies. His research develops UAS-based remote sensing methods for crop monitoring, yield prediction, and resource optimization.

Current projects include AI-driven detection of crop contaminants, wastewater utilization for bioenergy crops, and citrus yield estimation using multi-temporal datasets. Enciso's work bridges engineering solutions with sustainable agricultural practices, particularly in water-scarce regions.

He has extensively studied deficit irrigation strategies, salinity management, and UV treatment of agricultural water. Recent publications demonstrate advanced applications of deep learning for volunteer plant detection and plastic contaminant mapping in agricultural fields.