Analysis of Crop Detection and Monitoring Methods

Abstract

In this paper, a survey has been performed on deep learning techniques for supporting farmers in monitoring the crops and their yields. The study has been done on the specific models and frameworks employed for agriculture issues. Also, a study has been done on the data set used, and the overall performance achieved according to the metrics. The comparison listed on basis of few parameters and the findings indicate that deep learning provides high accuracy and is commonly used for image processing techniques. This survey will surely be beneficial for farmers and researchers to find out the results about trends and statistical information of crops, updating facilities and land availability which can in turn help in improving production.