A Novel Methodology for Modeling Ground Water Changes in Irrigation using Machine Learning Techniques

Ground water is the primary wellspring for irrigation in major rural locales. Water is the necessary need of the earth and the conservation of water is remaining as a most challenging issue. Water system supports to enhance the rural profitability around the world, empowering farmers to cushion crops against the dangers presented by precipitation inconstancy and dry season. The accessibility of freshwater for inundated farming is progressively obliged by rising requests for gathering water from different segments, moves in water accessibility because of environmental change, and developing mindfulness about the natural effects of water system. In this paper, the ground water used for irrigation purpose, domestic usage and industrial usage is considered. The best usage of the available ground water for irrigation is calculated and shown in the results using ZeroR and M5 Rules M4.0.