Archive | 2021
Agriculture General Applications: A Study of Digital Imaging Processing
Abstract
Agriculture accounts for a significant portion of the Indian economy. According to reports, any crop grown by farmers is susceptible to one or more diseases, including bananas, tomatoes, and cauliflower. It is difficult to manually track plant health and detect disease in plants. As a result, image processing can be a valuable and time-saving method for plant disease detection. Color characteristics and edge details are used to classify diseases. The framework includes an infection percentage as well as precautionary steps. . Images taken with a smartphone camera are pre-processed, then segmented, features extracted, and diseases classified. On MATLAB image processing, algorithms to detect diseases will be developed. The methods used in the detection of multidisclinary diseases were discussed in this paper, which included coconut, tomato, vegetables, and horticulture. Building an effective recognition device in the field of computer vision is a difficult job. The recognition system s main goal is to reach a human-like degree of object recognition. Shape, colour, texture, and other characteristics of the vegetables can vary. For efficient performance, vegetables and fruits are recognised using a combination of features. There are several difficulties to resolve in order to identify the vegetable, for example, the vegetable may be the same colour and form, and vegetables may exhibit notable variation in colouring and surface depending on how they are ripe, e.g., tomatoes vary from green to yellow to read, Received : 2nd April 2021 Accepted : 15th April 2021 Published : 25th May 2021 Agriculture General Applications: A Study of Digital Imaging Processing 17 Emperor Journal of Economics and Social Science Research Emperor International Journal of Finance and Management Research which may result in false identification of the vegetable and a decrease in accuracy level.