ICTACT Journal on Image and Video Processing

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A Review on Diagnosis of Nutrient Deficiency Symptoms in Plant Leaf Image Using Digital Image Processing


Affiliations
1 Department of Computer Science, Guru Nanak College, India
2 Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, India
     

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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.

Keywords

Color Segmentation, Color Space, Mathematical Morphology, Color Feature Extraction, Classifier.
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  • A Review on Diagnosis of Nutrient Deficiency Symptoms in Plant Leaf Image Using Digital Image Processing

Abstract Views: 515  |  PDF Views: 9

Authors

S. Jeyalakshmi
Department of Computer Science, Guru Nanak College, India
R. Radha
Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, India

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.

Keywords


Color Segmentation, Color Space, Mathematical Morphology, Color Feature Extraction, Classifier.

References