The simplest tool to try precision agriculture and start remote field monitoring

Vavilov-Index

Innovative comprehensive index for assessing soil fertility and land productivity

AI

Proprietary artificial intelligence architecture

Data science

Geoinformation data libraries

VRA

Digital maps for variable rate fertilizer application compatible with most agricultural machinery

Artificial Intelligence is becoming an indispensable assistant for farmers in determining soil fertility. Machine learning algorithms, based on neural networks, analyze various parameters such as moisture, mineral content, and soil structure. AI also processes field imagery, providing a more comprehensive understanding of the land's condition.

These technologies empower farmers to make informed decisions, optimizing fertilizer and irrigation levels based on the actual needs of the soil. Conservation of resources, increased crop yield, and reduced environmental impact are outcomes of applying AI in agriculture.

Our proprietary AI complex, consisting of neural network models, allows farmers to obtain information about soil fertility with an accuracy of up to 97%.