Selection of Adaptive Agricultural Technologies in Digital Agriculture

Abstract

As follows from the analysis of the collected experimental material of long-term field trials of the Kursk Federal Agricultural Research Centre and generalization of the activities results of leading domestic research and educational institutions, as well as the practical results of many agricultural enterprises of the eastern part of Europe, we have identified the most effective conditions for the use of basic agricultural methods in wheat cultivation technologies as well as spring and winter barley, seed peas, buckwheat, grain maize, oats, millet and winter rye cultivation technologies of different levels of intensity which contribute to the rational use of available resources of agricultural producers based on the prevailing soil and climatic conditions. The technologies made it possible to prepare scientific-methodological approaches and a mathematical model to solve the problems of selecting an adaptive technology of crops cultivation. A normative-reference database for different types of crops cultivation technologies has also been made, including a list of zoned recognized varieties and hybrids of crops under study, necessary technology methods taking into account conditions of their effective use. Currently, an algorithm and the corresponding software are being developed to choose the most expedient technology of crop cultivation for specific soil and climatic conditions depending on a set of defining factors. There has been created software (in the form of a complex of programs for stationary computers and mobile electronic devices with the Android operating system. A specialized website has been developed. It provides a scientifically well-grounded selection of crops varieties and hybrids for the eastern part of Europa on the basis of user-specified conditions.

Program for the rational choice of highly cost-effective adaptive technology of grain cultivation for various conditions of the European part of the Russian Federation

“…There are no elements of decision support in these programs. The purpose of this research is to develop a scientifically-based system of the choice of adaptive technology for the cultivation of grain crops in the European part of Russia for agricultural producers' decision support, which allows them to choose the necessary grain crop cultivation technology, including soil and climatic conditions of a particular territory, and thereby, contribute to increasing the profi tability of grain production, to ensure environmental orientation through the effi cient use of fertilizers, fuel and chemical plant protection products, the choice of crops varieties (hybrids), and used agricultural machinery [7]. According to the results of the All-Russian Agricultural Census, the leading crops for the European part of Russia are: wheat (27800 thousand ha), barley (8400 thousand ha), oats (3000 thousand ha), corn for grain (2900 thousand ha), rye (1300 thousand ha), buckwheat (1200 thousand ha), peas (1100 thousand ha), and millet (400 thousand ha) [14].…”

Improvement of Working Units for Strip-Till Technology

“…Решая вопрос о целесообразности применения конкретного способа обработки, проводят анализ потребностей в его функциях с учетом исходного состояния почвы. Обработку минимизируют в необходимых пределах и тем самым предотвращают технологически не обусловленное излишнее расходование всех видов ресурсов, одновременно создавая предпосылки для устранения техногенной деградации почвы [2,3].…”