APPLICATION OF MACHINE LEARNING TO OPTIMIZE AGRICULTURAL YIELD OBJECTIVES UNDER PESTIDCIDE USE
Keywords:
yield prediction, artificial neural networks, multilayer perceptron model, linear regression, support vector machineAbstract
In this paper, the important task of agriculture is to improve the quality of yields with moderate use of pesticides. It is especially important to take into account the mass production of agricultural products by farmers and agricultural producers. One of the important tasks in this case is product quality management. The possibility of applying machine learning algorithms to a wide range of agricultural problems is being studied.
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