Established in 2016, the CDISE Digital Agriculture group develops new technologies that address current challenges in agriculture, horticulture and natural resources management using expertise from a range of fields.

The CDISE Digital Agriculture group consists of researchers from various fields such that the knowledge and the application areas covered are complementary. We develop innovative, low cost, and accessible technologies for industry, farmers, and governmental agencies. The CDISE Digital Agriculture team uses the latest sensors and positioning technology along with cutting edge data science techniques to improve efficiencies and cost-effectiveness.

Key directions of our team are:

  • monitoring and predictive modeling of soil (“digital fields”),
  • monitoring, automation, and optimization of greenhouse crop production,
  • analysis of remote sensing imagery for information extraction regarding agricultural and hydrological patterns.

Skoltech has state-of-the-art soil equipment – both field and lab. We have several experiments in greenhouses of different scales going on. Our team has experience in modern machine learning/deep learning techniques, mathematical/numerical/physical modeling, the Internet of Things (IoT) and sensors. The Digital Agriculture group has publications in top computer science conferences (CVPR, ICLR, ICML),  as well as in leading journals related to the physical processes and related fields of agriculture, hydrology, and chemistry. We also have a fully automated mobile laboratory (based on KAMAZ truck) for quick chemical and physical analyses.


Our Mobile Lab