OPTIMIZING BOTANICAL FARM CROP VARIETY SELECTION: INTEGRATION OF MACHINE LEARNING MECHANISMS FOR GREEN TECHNOLOGY AND SUSTAINABLE SOLUTIONS

Tóm tắt

Currently, the field of science and technology, particularly Artificial Intelligence (AI), is undergoing significant progress. AI involves the computer-based simulation of human cognitive functions. Within the realm of AI, machine learning, a specialized branch, utilizes mathematical algorithms to enhance computational capabilities. The incorporation of AI in agriculture offers opportunities to optimize the selection of viable plant species, leading to improved agricultural productivity, higher incomes for farmers, and overall economic development. By applying machine learning techniques to the "Agricultural Crop Dataset" the study has developed an effective system for predicting the most suitable plant species for farmers. This endeavor promotes the practical utilization of AI in agriculture, paving the way for sustainable economic growth.