Novel Data Mining Techniques for Agriculture Data Sets

Data mining is the ever-green growing field of research in the domain of computer science engineering. The concept of this paper shows about the role of the data mining in perspective of yield/crop analysis of farming. Mining is the process of extracting implicit and potentially needful data from the data information and it’s the process of extract data information from huge data. The data mining concept include collections of data, data extractions, data analyzing and statistic of data. At present days the most important field in the real world is agriculture and farming is the major occupation and backbone of our country and In India more than 70% peoples are depending on agriculture. Data mining is domain concerned with the extraction of the useful and meaningful data from large databases or data warehouses. Now-a-days data mining in Agriculture is one of the trending research fields for researchers. Data mining’s important task is to choose the proper data mining method. Here we using Clustering method, it’s one among the oldest method used in Mining techniques. Cluster analyzing is the process of identifying data that are similar to each other. Crop prediction is the major task in agriculture field for high productivity.