Agricultural and Biological Sciences · Plant Science
A meta-analysis of maize studies found that sensor-guided, variable-rate nitrogen application reduced total nitrogen use by 18% without affecting grain yields. Nitrogen-use efficiency rose 22%, while partial profit increased 6% relative to uniform-rate applications.
A drone-based system combined images, soil readings and weather data to predict how crop stress might develop. In experiments, its irrigation decisions reduced predicted yield vulnerability by 46.6 and increased water-use efficiency by 41.1 compared with rule-based strategies.
An AI system was tested to grade the ripeness of oil palm fresh fruit bunches from camera images. It runs fast enough for real-time use and gives immediate ripeness categories linked to harvesting decisions. The approach also aims to provide maturity information to support harvest planning and mill capacity management.
