2An Enhanced Integrated Image Mining Approach to Address Macro Nutritional Deficiency Problems Limiting Maize Yield
Sridevy S.1*, Anna Saro Vijendran2 and Ahmed A. Elngar3
1Computer Science, Department of Physical Science & Information Technology, Agricultural Engineering College & Research Institute, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
2School of Computing, Sri Ramakrishna College of Arts and Science Nava India Road, Peelamedu, Coimbatore, Tamil Nadu, India
3Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt
Abstract
Agriculture has become much more of a means to feed ever-growing populations. Plants have become an indispensable energy source and are found to be an important solution to solve the problem of global warming. This chapter presents an integrated approach using image processing and mining to detect, quantify and classify plant diseases from maize leaf images in the visible spectrum. The proposed work can be able to determine single macro nutritional, multiple macro nutritional deficiencies determination, develop an expert decision support system, and analyzes spectral reflectance and RGB intensities of control which may then be useful to restrict the ineffective data to be processed in the design of suitable approaches. The experimental result is conducted on each stage and the result shows the more promising result on this proposed work while comparing the existing approaches.
Keywords:
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