• Faiza Shaikh
• Momin Nausin

Data mining and Machine Learning is an emerging field of research in Information Technology as well as in agriculture. Agrarian sector is facing rigorous problem to maximize the crop productivity. The present study focuses on the applications of data mining techniques in crop disease prediction in the face of climatic change to help the farmer in taking decision for farming and achieving the expected economic return. The Crop disease prediction is a major problem that can be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year’s crop production. The main purpose of the system is for social use. Farmer has to face many problem's like Lack of knowledge, Manures, fertilizers and Agriculture marketing etc. Present technique SAR Tomography takes the images and provides the different development stages of crop. This system not give the fertilizers and precautions to the farmer . This paper gives brief analysis of crop disease prediction using k Nearest Neighbor classification technique and Density based clustering technique for the selected region. The patterns of crop production in response to the climatic (rainfall, temperature, relative humidity and sunshine) effect across the selected regions are being developed using k Nearest Neighbor technique. Thus it will be beneficial if farmers could use the technique to predict the future crop productivity and consequently adopt alternative adaptive measures to maximize yield if the predictions fall below expectations and commercial viability.

Data mining, Machine Learning, Classification, Clustering.

"Disease Prediction As Per Weather Condition And Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.453-455, February-2019, Available :http://www.jetir.org/papers/JETIRAE06106.pdf

"Disease Prediction As Per Weather Condition And Market Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp453-455, February-2019, Available at : http://www.jetir.org/papers/JETIRAE06106.pdf