Published September 25, 2026
| Version v1
Conference paper
Open
THE ROLE OF INTELLIGENT MODELS IN REPEATED CROP SELECTION AND YIELD PREDICTION UNDER AGRO-CLIMATIC CONDITIONS
- 1. Department of Computer Science and Programming, Jizzakh Branch of the National University of Uzbekistan named after Mirzo Ulugbek
Description
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.