Using data mining techniques to identify the impact of water availability in the agricultural sector

¹ Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
² Bauman Moscow State Technical University, 105005 Moscow, Russia
³ Moscow Timiryazev Agricultural Academy, Russian State Agrarian University, 127550 Moscow, Russia

^* Corresponding author: ankoz9@yandex.ru

Abstract

This paper comprehensively analyzes the impact of water availability on the agricultural sector, focusing on several key aspects. The study evaluated soil composition and its relationship to crop yields and productivity, as well as the efficiency of different irrigation methods. Special attention was paid to seasonal changes in crop production and their dependence on water resources. The analysis also covered economic indicators, including crop prices and water costs. The used methods of data mining allowed to study in depth the impact of water availability on the agricultural sphere. Correlation analysis revealed that water availability has a significant impact on crop yields and productivity, but this impact is not decisive. In some cases, other factors such as soil composition and agronomic management practices applied played a more important role. Factor analysis identified key factors affecting crop yield, including not only water availability but also soil type, climatic conditions and agronomic practices. It was found that although water availability has an impact on production, it is by no means always the main determinant. The clustering of data showed that there are groups of factors and conditions that together have a complex influence on the results of agricultural production. This confirms that optimization of agricultural activity requires consideration of many variables, not only water resources availability