Application of artificial intelligence technologies to select the optimal cotton crop root scheme

The optimal organization of the territory of crop rotation fields and arrays allows you to choose the optimal scheme of cotton crop rotation. An analysis of the current level of development of crop rotations in the object under study showed that the agrotechnical foundations of cotton crop rotations have been studied quite fully, and specific recommendations have been developed for individual soil conditions of the region. At the same time, the organizational and economic substantiation of crop rotations has been little studied, taking into account the production and economic conditions of individual farms. This is especially true for the choice of crop rotation system, crop rotation and assessment of the yield of crop rotation fields, as well as linking the placement plan and crop rotation. Implementation allows you to determine in which field a particular crop should be sown. To solve this problem, a genetic algorithm is used. A computational experiment was carried out.

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