Weather Prediction using Support Vector based Genetic Algorithm in Rice Farming

Abstract

In recent times, farming is a very important field in our Nation to improve the economy. In Agriculture, farmers have to do new learning to improve the economics of the country. In the old days, farmers automatically examine the weather conditions and start cropping, but at present due to illiteracy so many farmers are getting losses. In-order to overcome the problem, IoT and Machine learning are utilized to analyze climatic conditions like temperature, soil moisture levels, and pH levels, etc. with the help of sensors. But it possesses a problem with sensors there is an absence of communication between adjacent sensors, so to remove this “Kalman-Filter” algorithm is used. Whenever the climate change, the information is updated to the farmers using Google Assistant with the help of vigilant messages and voice calls in the regional language. These sensor values are stored in the “Adafruit” cloud storage. It has a problem with detecting weeds in rice farming; to overcome this support vector machine algorithm is used to separate weeds and plants. Genetic Algorithm is used for Analyzing weather situations to have an effect for farmers to raise the yield with high profits.