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Farmer's Analytical assistant

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-5
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I5P16
	Authors : Aishwarya Jadhav, Ankita Mande, Dhanashree Gurav, Meghana Sarje

Abstract :

Agriculture is the one of the source of livelihood for approximately 58 percent of Indias population primarily depends on agriculture, and it is the most crucial part of GDP to Indian economy which is not satisfactory.There are many reasons behind India’s poor production in agriculture field like lack of crop planning by farmers or various environmental and economical factors that influence the crop production but unpredictable changes in these factors lead to a great loss to farmers. To reap high-quality appropriate crop desire for areas primarily based on parameters like soil conditions, rainfall and weather we have got applied gadget studying 3 method. By using data mining, machine learning crop yield can be predicted by deriving useful patterns from these agricultural data that helps farmers to decide the crop they would like to plant for the upcoming year for gaining maximum profit.With the assist of disorder assessment tool, we predict the crop and marketplace assessment at the equal time as cultivation of any crop.