TSU will teach artificial intelligence to understand agriculture
An interdisciplinary team of TSU scientists - soil scientists, physicists, and meteorologists - is developing a system of markers for use in precision farming. The main source of information is Earth remote sensing data - satellite images, in which researchers single out visual characteristics that are special for particular soil indicators. The library of data collected will be the basis for training a computer model that will conduct digital analysis of the fields and help to increase the yield on them.
- The physical and chemical characteristics of the soil are the main parameters on which the condition of crops depends, the dynamics of their growth and ultimately the yield, and therefore the productivity and profit of agricultural companies, explains Oleg Merzlyakov, the project manager, associate professor in the TSU Department of Soil Science and Soil Ecology.
Read more: http://en.tsu.ru/news/tsu-will-teach-artificial-intelligence-to-understand-agriculture/