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Data Engineering and Intelligent Computing pp 41–49Cite as

Performance Evaluation of Leaf Disease Measure

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

Leaf disease is a state where I find the abnormality observation in the growth of the plant. Most of the diseases I can easily find out by observing the conditions on leaf at regular intervals of time. If I found the diseases in early stage, then, I can save the plant without further growth of the disease by taking necessary actions. So, here made an attempt to find the leaf disease measure. Local Binary pattern, median filter, Morphological operations and edge detection are used for analyzing the disease in leaf images. For comparing the disease level, Rank table is considered. Finally, calculates the execution time for measuring the leaf disease in a leaf by using various edge detection techniques. This is further extended by using other techniques like hierarchical clustering.

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Authors and Affiliations

  1. Jawaharlal Nehru Technological University Kakinada, Kakinada, 533003, Andhra Pradesh, India

    D. Haritha

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  1. D. Haritha
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Correspondence to D. Haritha .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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© 2018 Springer Nature Singapore Pte Ltd.

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Haritha, D. (2018). Performance Evaluation of Leaf Disease Measure. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_4

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

  • eBook Packages: EngineeringEngineering (R0)

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