THE ROLE OF INTELLIGENT MODELS IN REPEATED CROP SELECTION AND YIELD PREDICTION UNDER AGRO-CLIMATIC CONDITIONS

In Uzbekistan, the growing demand for agricultural products makes efficient use of land and water an important task. One promising approach is repeated cropping, where a second crop is cultivated after the main crop within the same season. The selection of a suitable repeated crop depends on many interrelated factors, including temperature, precipitation, humidity, soil characteristics, irrigation availability and the vegetation period. This paper examines the role of intelligent models in repeated crop selection and yield prediction under agro-climatic conditions.

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