Machine Learning Models Applied for Rainfall Prediction

Predicting rainfall is an important step in generating data for climate impact studies. Rainfall predictions are a key process providing assessments with inputs. A consistent pattern typically good normal plants; nevertheless, too much or little can be disastrous to crops, even deadly. Drought damage plants and lead erosion, while heavy encourage the growth of destructive fungi. Machine Learning (ML) helpful overcoming such issues; example, ML used predict apply it foresee crop health yield. Predictive analysis subset mining that forecasts future probabilities patterns. Various sectors like Agricultural Produce Markets Committee (APMC), Kisaan call centre, etc., use proposed method, enabling sector farmers obtain information on precipitation, yields health.