Page 543 - e-Book

Agriculture General Applications: A Study of Digital Imaging Processing

1 G.Ramachandran and S.kannan
2

1,2 Assistant Professor, Department of Electronics and Communication Engineering,

Vinayaka
Mission’s KirupanandaVariyar Engineering College, Vinayaka Mission’s Research

Foundation

(Deemed to be University), Salem, Tamil Nadu, India
Email of corresponding author: plccelldepts@gmail.com

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, which may result in false
identification of the vegetable and a decrease in accuracy level.

Keywords:- Agriculture ,Computer vision, Horticulture ,Image Processing , Multidisplinary
diseases, plants, Vegetables,

1.Introduction:

Synthetic-aperture radars (SARs) are a type of radar that is broadly used to make two-
dimensional pictures or three-dimensional reproductions of objects, for example, scenes.

533