The article examines the problem of the low level of implementation of intelligent crop management algorithms in agriculture and presents the cause-and-effect relationships of the current situation. As a solution to this issue, intelligent algorithms for controlling the yield of grain crops are proposed based on data on their moisture content and the presence of impurities obtained from built-in capacitive sensors of an information-measuring system, the operating principle of which is based on the dielcometric method for identifying the properties of products.
humidity, impurities, grain crops, quality, intelligence, algorithms, efficiency, automation, agriculture, capacitive sensor
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