Scientists of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences, which is a member of the Yenisei Siberia Research Center, have developed algorithms for data processing and obtaining information in an automated mode for monitoring agricultural crops. This technology will help farmers to monitor the condition of crops and take timely measures to preserve and increase the harvest.
To get a good harvest, agronomists need to know the characteristics of the land and the climatic condition of the territory. Such information allows agronomists to set sowing dates, monitor the condition of crops and carry out technological operations in a timely manner — fertilizing, mowing, etc. Traditionally, such data is obtained in the field in the direct presence of a person. However, now there is an alternative for obtaining this information — methods of remote sensing of the Earth (remote sensing).
Krasnoyarsk scientists have proposed their own data processing algorithms that can be used in agricultural production. Interactive thematic maps and web services have been developed based on satellite data, the values of the average daily soil surface temperature and the amount of daily precipitation have been obtained. This approach ensures operational monitoring of agricultural crops. The method has already been tested in experimental production facilities of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences.
“An archive of long-term satellite data and derivative information products based on them has been formed and is constantly being updated on the territory of all experimental production facilities of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences. Using the accumulated data from the archive, it is possible not only to track the changes occurring within one field during one growing season, but also to compare the values obtained over several years,” said Oleg Yakubailik, Candidate of Physical and Mathematical Sciences, Deputy Director of the Institute of Computational Modeling SB RAS.
Experts also emphasize the importance of drones in situations where satellite information is limited, for example, in cloudy conditions. UAVs provide centimeter accuracy and allow you to create three-dimensional terrain models. The combination of modern technologies and approaches to information processing makes it possible to obtain high-quality forecasts.
Source: FITZ KSC CO RAS