• Pranita Singh
• Parag Jain
• Deepak Arya
• Sakendra Kumar
• Rachan Karmakar

Fast computerization of scientific techniques and their advancement has led to huge and continuously increasing amounts of data which makes it very intricate and unmanageable to deduce the facts manually from this data. Therefore, innovative techniques and tools development that support humans in transforming data into valuable knowledge has been the focus of the comparatively novel and interdisciplinary research area “knowledge discovery in databases”. The agriculture sector is the backbone and pillar of India's economy. Despite the emphasis on industrialization, agriculture continues to be a major sector of the Indian economy in terms of its input to gross domestic product (GDP) and a source of employment for millions of people across the country. With the extensive use of remote sensor technology and automated data collection tools, a large amount of agricultural data has been collected and stored in a large database. The comprehension of information meant by such a large amount does a great deal of challenges of relevant research in the field of Agro Informatics and computer intelligence. The current work involves the development of an integrated computer intelligence system to find association rules on agricultural data sets which provides decision making reference.

Data mining, Association rule, Land use

"IMPLEMENTATION OF COMPUTER INTELLIGENCE ON AGRICULTURE DATASET USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.576-579, March-2019, Available :http://www.jetir.org/papers/JETIR1903N77.pdf

"IMPLEMENTATION OF COMPUTER INTELLIGENCE ON AGRICULTURE DATASET USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp576-579, March-2019, Available at : http://www.jetir.org/papers/JETIR1903N77.pdf