A REVIEW ON DIAGNOSIS OF NUTRIENT DEFICIENCY SYMPTOMS IN PLANT LEAF IMAGE USING DIGITAL IMAGE PROCESSING

Abstract
Plants, for their growth and survival, need 13 mineral nutrients. Toxicity or deficiency in any one or more of these nutrients affects the growth of plant and may even cause the destruction of the plant. Hence, a constant monitoring system for tracking the nutrient status in plants becomes essential for increase in production as well as quality of yield. A diagnostic system using digital image processing would diagnose the deficiency symptoms much earlier than human eyes could recognize. This will enable the farmers to adopt appropriate remedial action in time. This paper focuses on the review of work using image processing techniques for diagnosing nutrient deficiency in plants.

Authors
S Jeyalakshmi1, R Radha2
Guru Nanak College, India1, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, India2

Keywords
Color Segmentation, Color Space, Mathematical Morphology, Color Feature Extraction, Classifier
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 7 , Issue: 4 )
Date of Publication :
May 2017

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