Abstract
An overview of new approaches to the intellectualization of the use of Earth remote sensing (ERS) is presented. The paper shows that such approaches can be implemented only when solving control problems in precision farming systems. Two groups of tasks are considered - organizational management, in which control decisions are made by farm management, and technological control tasks, implemented by robotic machines. When solving both types of problems, remote sensing data are used as a means of system-wide feedback. This feedback is implemented in the form of algorithms for evaluating non-quantitative indicators and parameters of the state of crops and the soil environment. To implement such algorithms, mathematical models of the estimated parameters themselves and models of their connection with remote sensing data are needed. In this case, the models of the parameters of the state of crops and the soil environment are the basis for the construction of control algorithms in real time. The purpose of this work is to present the above approaches as far as the volume of one article allows.#CSOC1120.
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Mikhailenko, I., Timoshin, V. (2022). Use of Remote Sensing Data in Intelligent Agrotechnology Control Systems. In: Silhavy, R. (eds) Cybernetics Perspectives in Systems. CSOC 2022. Lecture Notes in Networks and Systems, vol 503. Springer, Cham. https://doi.org/10.1007/978-3-031-09073-8_7
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