Russian Students Develop Weather Analytics System for Farmers
The platform uses a broad set of indicators to assess crop conditions, growth dynamics, and stress factors.
A team of students from Moscow Aviation Institute, working with soil scientists from Lomonosov Moscow State University, has developed an agricultural analytics system called Agrometrics. The platform is designed to help farmers cut costs by 15–25 percent and increase crop yields by 10–20 percent by reducing the number of field inspections and enabling more precise allocation of resources.
As project lead Ivan Lebedev, a student at Moscow Aviation Institute, explained, crop yields within a single field are often uneven, meaning some areas require closer attention than others.
Everything in One Place
The Agrometrics platform combines satellite data, information from weather stations, and topographic inputs to monitor crop conditions accurately, forecast yields, and generate recommendations for improving productivity.
Each component of the system is responsible for a specific factor. Spectral satellite data, for example, help indirectly assess chlorophyll content in vegetation or water stress. Optical imagery enables detailed work with spectral indices, while radar data allows monitoring even under cloudy conditions.
To assess risks to yields and identify priority areas for intervention, the system takes into account field history and weather forecasts. It automatically collects, processes, and analyzes data.
The researchers have also created Russia’s largest database of agrochemical soil surveys. More than 6,000 soil samples were collected in Primorsky Krai. Using this data, the team trains its own machine-learning models to generate predictive maps. In the future, the system is expected to be adapted to different climate zones.
