Arnold Schumann

Dr. Arnold Schumann is a Professor in the Department of Soil, Water, and Ecosystem Sciences at the University of Florida's Citrus Research and Education Center. His research emphasizes precision agriculture, AI applications in farming, and sustainable citrus production. Key focuses include soil spatial variability, irrigation optimization, nutrient management, and automated crop monitoring technologies. He leads projects developing variable-rate technologies (VRT) to enhance fertilizer efficiency and groundwater protection.

Schumann's research spans precision irrigation, soil sensing, AI-driven pest/disease detection, and citrus under protective screen (CUPS) systems. His work integrates machine vision, deep learning, and sensor technologies to address challenges in crop nutrition, weed control, and yield prediction. Recent studies explore convolutional neural networks for real-time plant identification and soil health characterization.

Schumann advises graduate students including Laura Cano Castro (Masters) and Perseveranca Mungofa (Ph.D.). His lab employs a Biological Scientist III, Laura Waldo, supporting field and computational research. The team collaborates extensively on grants addressing HLB (citrus greening) mitigation, sustainable water use, and agrochemical efficiency, though specific grants are not detailed in the source text.