Journal of Innovation in Computer Science and Engineering

Farming is done by traditional methods, farmers plant crops by using the old common method without knowing the properties of soil and quality of that soil. In the end, the farmer will not gain sufficient profit from their farming. It is necessary to know various soil parameters and based on that provide specific crop, Existing system provides a suggestion model with fewer soil parameters and low accuracy, Hence it aims to propose a convolutional neural network model to estimate soil nutrients and crop fertility with better accuracy and convert the same in a local language.