• K.Tharani
• Mrs. D. Ponniselvi

Agriculture is that the most indispensable application space essentially inside the creating nations like India. Employments of learning innovation in a very horticulture will revision things of choosing and ranchers will yield resentfully. Information preparing assumes an indispensable job for choosing numerous issues related with farming field. This paper referenced concerning the job learning of data mining in context of horticulture field and conjointly presents concerning numerous information mining procedures and their associated work by numerous creators in setting to agribusiness area. It conjointly examines on various information handling applications in finding absolutely the different rural issues. It coordinates crafted by fluctuated creators in a single spot along these lines it is useful for scientists to actuate data of current circumstance of information mining strategy and applications in setting to farming field. This paper gives a study of differed information preparing systems used in agribusiness which join Artificial Neural Networks, K - closest neighbor, Call tree, Bayesian system, Fuzzy set, Support Vector Machine and K – implies.

Agriculture, Data Mining, Artificial Neural Networks, K nearest neighbor, k means, Decision tree, Bayesian network, Support Vector Machine.

"A SURVEY PAPER IN AGRICULTURE USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.249-252, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06051.pdf

"A SURVEY PAPER IN AGRICULTURE 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. pp249-252, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06051.pdf