THE ECONOMIC IMPACT OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO IMPROVE TOMATO CROP PRODUCTION

Abstract

This study aimed to explore the role of artificial intelligence in improving the production of tomato crops, which is of great importance on the economic side to increase profit and provide the product throughout the year so that import is sufficient, then come up with scientific recommendations and proposals that help in making decisions. In this research, the applied analytical method was used by taking a sample consisting of 76 varieties of tomato crops and from different origins, based on real data from Wikipedia. One of the methods of artificial intelligence was used, which is the K-Means algorithm that was applied to the study sample using the Weka software tool to test the data to obtain the best variety of tomato varieties where multiple experiments were conducted and experimental results showed that the more clusters increased the less the amount of dispersion and more cluster Carrying appropriate properties for the different geographical and climatic factors for each region is the first cluster with characteristics