Photo: Vitaly Timkivi / RIA Novosti
An interdisciplinary group of scientists from Tomsk state University (TSU) is working on creating neural networks that will allow to increase productivity of agricultural lands. On Thursday, June 18, reported TASS the press service of the University.
As planned by the Russian specialists, they developed a neural network will analyze the condition of the land on the basis of data from satellite images. In particular, it will be able on the basis of visual characteristics, typical of those or other soil indicators, to identify problem areas of fields, where the soil, for example, has high acidity or inadequate nitrogen. In the future, all the information can be downloaded in unmanned agricultural machinery and to use, for example, for the point of fertilizer application.
“It is economically and environmentally more profitable than sprinkle fertilizer whole field, as is often done now. This can be detrimental to crops, as excess of micronutrients is as undesirable as a deficiency,” explained the project leader, associate Professor in the Department of soil science and soil ecology BI TSU Oleg Merzlyakov.
The increase in the number of domestic developments and patents for inventions is provided by the national project “Science”, which should be implemented in Russia to 2024. Only its implementation is planned to more than 625 billion rubles. He also suggests the creation of 15 scientific and educational centers of the world level, commissioning research facilities class “magicians” and the formation of an integrated system of training scientific and scientific-pedagogical personnel.
Video, photo All from Russia.