Agriculture Analysis Using Data Mining And Machine Learning Techniques

Agriculture is an important application in India. The modern technologies can change the situation of farmers and descision making in agricultural field in a better way. Python is used as a front end for analysing the agricultural data set. Jupyter Notebook is the data mining tool used to predict the crop production. The parameter includes in the dataset are precipitation, temperature, reference crop, evapotranspiration, area, production and yield for the season from January to December for the years 2000 to 2018. The data mining techniques like K-Means Clustering, KNN, SVM, and Bayesian network algorithm where high accuracy can be achieved.