• V NAVYA SRI
• B SAMBHAVI
• K GIRIJA SANKAR
• V SAI KIRAN REDDY
• N MD JUBAIR BASHA

India is generally an agricultural country. Now a days the most important emerging field in the real world is agriculture and it is the main occupation and backbone of our country. Around 60 percent of the whole land within the country is used for agriculture to satisfy the wants of 1.2 billion people, so improving crop production is therefore seen as a big aspect of agriculture. Production of crops could also be a difficult task since it involves various factors like soil type, temperature, humidity etc. If it's possible to hunt out the crop Production before sowing it, it'd be of great help to the farmers. Predicting the Cropping pattern beforehand of its harvest would help the farmers take appropriate measures for better results. Recent developments in In-formation Technology for agriculture field have become an interesting research area to predict the crop. Crop prediction is the methodology to predict the crops using different parameters like PH level of soil, Temperature, Fertilizers, Potassium(P), Phosphorous(K), Nitrogen(N) and other atmospheric conditions are parameters. Data mining techniques is very popular in the area of agriculture. Machine learning techniques are used and evaluated in agriculture for estimating the future years crop production. This paper presents a brief analysis of crop prediction using K-Nearest Neighbour (K-NN). This Paper may be a recommendation system which makes use of various data processing techniques such as recommending the acceptable crops that support the input soil parameters. The proposed technique thus reduces the financial losses faced by the farmers caused by planting the wrong crops and also it helps the farmers to hunt out new kinds of crops which will be cultivated in their area.

"A Methodology to predict cropping patterns using soil properties", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.a311-a318, June-2022, Available :http://www.jetir.org/papers/JETIR2206033.pdf

"A Methodology to predict cropping patterns using soil properties", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppa311-a318, June-2022, Available at : http://www.jetir.org/papers/JETIR2206033.pdf