Environmental Constraints of Optimization Crop-Yield Prediction using Machine learning

In recent years, with the increase in big data technologies, smart farming has utilized these techniques to identify that either the yield of the crop will be high or not considering the certain environmental factors. The main purpose behind conducting this study was to perform an analysis over the data in terms of developing a yield prediction model using machine learning. This model can help the farmers to identify if a particular climate factor will impact the crop not. Hence, certain decision-making strategies can be used under these conditions for the sake of improving the yield of crops efficaciously. We have used different ML based algorithms for this purpose. The most suitable accuracy has been archived from the logistic regression.