Prediction of Crop Rate and Shelf Life Calculation

Nowadays in agriculture industry we have good reference in crop field. Effective growth and improved field is necessary and important. In this field farmers need manual monitoring system. This system will help humans until the crop is improved. But in manual monitoring system will not offer the precise results invariably, and this one is time taking method too, therefore for that we had like one good software system to detect the crops and there shelf life also. For this need we have proposed one new technology to satisfy the process. Here we are using some of the image processing technologies and algorithms. We will implement the system like it will detect the crop shelf life. The specified algorithms are used to detect these things. Those are we use k-means clustering technique to cluster the images. Then images will classify into the one of the classes using K nearest neighbors algorithm. Here we can train the dataset image to detect the shelf life. Our experimental results are satisfied with the accuracy. It will give maximum possible results.