The next great leap in digital agriculture, the adoption of intelligent technologies is a complex work in progress. Artificial intelligence (AI) and machine learning (ML) are engineered to produce agronomic insights farmers can act upon from a vast flow of information that includes precision ag field data, weather, soil and yield data as well as drone and satellite imagery.
Crop breeders test thousands of plant lines every year in small, individual test plots. Assessing these plants involves both quantitative and qualitative analysis, but new software aims to substantially refine the process. PlotVision is a new software service that collects data using unmanned aerial imagery (UAI) captured by drones. The data may help researchers predict harvest yield and assess disease resistance, accelerate the plant breeding process and the production of new crop varieties.