An appropriate model predicting pest/diseases of crops using machine learning algorithms

Wireless Sensor Network is new technology to world and country like India where it can used in Agriculture Sector in India for increasing yield output by providing early prediction of plant diseases and pest. This can be happen by taking raw data from field where WSN network is install and with fitting appropriate machine learning model for this data to get predicted output. This paper gives an idea to how to deploy WSN on field and how Machine learning model is fitted for prediction of pest/diseases using Navie Bayes Kernel Algorithm.