Abstract and keywords
Abstract (English):
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.

Keywords:
humidity, impurities, grain crops, quality, intelligence, algorithms, efficiency, automation, agriculture, capacitive sensor
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References

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