Agrotech
A drone, soil probes and a model map maize water stress before leaves show it
Kansas State doctoral student Kelechi Igwe combines drone imagery, air temperature and soil moisture to estimate stomatal conductance across whole fields; his machine-learning model, about 50% accurate, flagged stressed patches that still looked green.

