This paper provides a review of research on the application of data mining techniques for
decision making in agriculture. The paper reports the application of a number of data mining …

This paper presents the various crop yield prediction methods using data mining techniques.
Agricultural system is very complex since it deals with large data situation which comes from …

Agriculture is one of the major revenue producing sectors of India and a source of survival.
The number of biological, financial, and environmental factors affects the crop yield. So …

Data Mining is emerging research field in Agriculture especially in crop yield analysis and
prediction. As early into the growing season as possible, a farmer is focused in perceptive …

Agricultural crop productivity depends on various factors such as precipitation, climate, soil
type and hydrology. Statistical methods and techniques can be used to assess the impact of …

Geospatial information, including satellite information, is a vital part of crop yield prediction
since it can give normal, predictable, target data. Distinguishing geospatial designs and …

This paper shows the use of artificial neural networks and the PDCA (Plan, Do, Check, Act)
method for predicting the apricot yield per hectare. The goal of the paper is to determine the …

The prediction of crop yield is one of the important factor and also challenging, to predict the
future crop yield based on various criteria's. Many advanced technologies are incorporated …

The most important domain is Agriculture in broadly cultivating countries like India. The
situation of decision making can be amended by using the current technologies, the. So that …

Accepted: 17/Aug/2018, Published: 31/Aug/2018 Abstract: Agriculture is the main sector of
employment in India. One of the major causes for the continuing downfall in agricultural …