Abstract: Data mining is the study of the Knowledge Discovery in Databases process which is known as KDD. It is an interdisciplinary subfield of computer science, the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. Data mining in agriculture is a very recent research topic. It consists in the application of data mining techniques to agriculture. Recent technologies are able to provide a lot of information on agricultural-related activities, which can then be analyzed in order to find important information. A related equivalent term is precision agriculture. In this paper the applications such as 1. Prediction of wine fermentation problems and 2.grading of apples are discussed.
Keywords: Agriculture, Data mining.
Title: Application of Data Mining In Agriculture
Author: P. Grace Sharon
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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