Plant Leaves Diseases Detection Using Convolutional Neural Network

Abstract

In agriculture technologies, images are a key source of data and information. The examination of smart farms was significantly impacted by the usage of image processing methods. The analytical method that uses digital image processing would categorize the indications of having diseases and which diseases the plants are suffering from far earlier than a human could. As a result the farmers will be able to take corrective actions timely. The study presents some visualization techniques used for detecting diseases from the collected images. To achieve the best result in diseases detection image processing techniques go through a number of stages including picture acquisition, image augmentation, image segmentation and feature extraction. In this analysis it has been demonstrated that image processing technology can aid in the growth of agricultural automation to achieve the benefits of cheap cost, high efficiency, and high accuracy.