• Lavanya N

Agriculture is the main occupation and backbone of our country. Agriculture is a necessary sector because it is one of the main income of India. Agricultural yield depends on the natural parameters like temperature, rainfall, humidity etc. Due to unpredictable climatic changes and unavailable of mandatory resources of water farmers are unable to attain the expected yield. The climatic changes plays a vital role in the expected production of agricultural yield. Predicting the crop yield is one of the challenging task and it requires unification of knowledge from statistics and agricultural data. Prediction of crop yield helps in managing the storage of crops as well as it directs the transportation decisions, and risk management issues related to crops. In this project we are using data mining techniques to predict the crop yield. Data mining focuses on the discovering of new pattern or knowledge in a large set of information. We use methodologies of data mining to extract the knowledge which results in an efficient output which can be deduced easily and rapidly from the dataset. Here we are predicting the agricultural yield of paddy crop. Farmers do not use any knowledge discovery process approach on paddy yield data so that Data mining can be used in agriculture for decision making. In the proposed system, we collect data from different government organizations, after preprocessing the available data ,we apply Eclat algorithm for analysis of temperature, rainfall , nitrate content, PH and history of the paddy yield to predict the paddy yield and to analyze the effect of all the above natural parameters on the paddy yield.

Data Mining , predicting crop yield, natural parameters, association rules.

"SYSTEM TO PREDICT THE PADDY YIELD DEPENDING ON AGRICULTURAL DATA USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.323-330, May-2019, Available :http://www.jetir.org/papers/JETIR1905N49.pdf

"SYSTEM TO PREDICT THE PADDY YIELD DEPENDING ON AGRICULTURAL DATA USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp323-330, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N49.pdf