Scientific background of intellectual system development for precision agriculture
Keywords:
precision agriculture, intellectual systems, knowledge background, mathematical model, electronic task map, remote sensing data, optical crop characteristicsAbstract
The paper presents the new approach for the construction of a knowledge background and the developing of the intellectual system on its basis to support the planned technological solutions. The generation of industrial-technological spectrum of operative possibilities and optimal proposals for precision crop yield management have been fulfilled by intellectual support systems with due consideration of weather, soil, ecological and economic conditions of the given agricultural area. The logical-and-linguistic apparatus has been applied to present and process agro-technological knowledge. The formalization of the subject area and determination the main entities and the relationships between the concepts have been carried out with specialized model structures for describing technological operations and production rules. As a result, the agrotechnological knowledge has been presented in an uniform structured form suitable for storage and computer processing. The prototype of the intellectual system has been tested in comparative field experiments aimed at examination of technologies of varied intensity, including precision agriculture technology. Differentiated approach to the calculation and application of chemicals according to indicators of field fertility and crop conditions is the distinctive feature of precision agriculture technology. Long-term field tests have shown economic and ecological efficiency of intellectual support system implementation for application of planned technological solutions. The quality of spring wheat grain has been considerably improved, the agrochemical impact on the environment has been reduced by 35–60 %, the sufficiency of fertilizer and crop protection products has increased by 1.5–1.7 times along with the significant increment of crop production. Trials of the intellectual system have been performed on the basis of integration of domestic on-board navigation equipment (Precision Farming Systems Ltd. Novosibirsk), robotic units based on RMU-8000 (Shchuchinsky repair factory, Belarus) and Amazone (Euroengineering, Samara) vehicles. This complex has been presented during the agricultural exhibition “All-Russian Field Day 2019” held in the Leningrad Region.
