Decision Support System for Agricultural Crop Prediction Using Machine Learning Techniques

Abstract

Food is one of the basic needs of human beings. It depends on Agricultural Sector and its production. Also, Indian food industries are heavily dependent on agricultural yield production. But due to some poor climatically condition and poor yield production, lots of farmers have gone into suicide in the past. Reportedly, more than 59,000 farmers have attempted suicide over the last 30 years. Now a day’s all are talking about the agricultural field and their production, but no one has come forwarded to help them to increase their productivity. More and more researchers are doing research in the field of the agricultural sector. However, the only minimal effort has been made relevant to this. Most of the agricultural departments have lots of data pertaining to the crop yield in the past. Data in this field are huge and represented in the form of structured/unstructured form. Hence there is a need for an efficient technique to process these data and to discover potential information out to it. By analyzing these data one can discover potential crop by considering climate, season, ph level, soil type and many more. Thus, the proposed system will help the farmer in identifying correct crop to increase the production.