ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	Crop yield prediction, forecasting and fertilizer recommendation using Data mining algorithm
Authors	:	K. Archana, Dr.K.G.Saranya
Keywords	:	Nitrogen, Phosphorus, Potassium, soil nutrition, yield prediction, crop rotation, fertilizer recommendation.
Issue Date	:	Jan-Feb 2020
Abstract	:	Agriculture is the backbone of a developing economy such as India, for the income the majority of its population depends on agriculture. Data mining is a significant field of informatics that can be applied very efficiently to the agriculture sector. Agricultural stakeholders need to predict and forecast crop yields that can be acquired using data mining techniques. When the farmers are unaware of the soil nutrition and soil composition its results in minimal crop yield. The system developed which in effect focuses on macro nutrients (NPK) present in the soil to provide the most suitable crop suggestions. The system for crop yield prediction, forecasting and fertilizer recommendation are all separate and unique in the existing system. The proposed system constructs a collaborative system of crop yield prediction, forecasting and fertilizer recommendation. In this project a system is build that incorporates the agricultural dataset and the K Nearest Neighbor algorithm is applied to suggest the most appropriate crops. Crop yield prediction and forecasting will improve the agricultural production. Crop rotation will boosts the soil fertility and this system supports farmer friendly fertilization decision making.
Page(s)	:	76-79
ISSN	:	2319-7323
Source	:	Vol. 9, No. 1