NCFU young scientists will teach neural networks how to make yield forecasts
A team of scientists from the North Caucasus Federal University has won a grant from the Russian Science Foundation (RSF) to create a yield forecasting system. An intelligent system based on neural networks will analyze data from unmanned aerial vehicles (UAVs), satellites and weather stations, assess the state of vegetation and soil in order to make agricultural forecasts based on them.