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Plant disease detection using computational intelligence and image processing

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Abstract

Agriculture is the most primary and indispensable source to furnish national income of numerous countries including India. Diseases in plants/crops are the serious causes in degrading the production quantity and quality, which results in economy losses. Thus, identification of the diseases in plants is very important. Plant disease symptoms are evident in various parts of plants. However, plant leaves are most commonly used to detect the infection. Computer vision and soft computing techniques are utilized by several researchers to automate the detection of plant diseases using leaf images. Various aspects of such studies with their merits and demerits are summarized in this work. Common infections along with the research landscape at different stages of such detection systems are discussed. The modern feature extraction techniques are analyzed for identifying those that appear to work well covering several crop categories. The study would help the researchers to understand the applicability of computer vision in plant disease detection/classification.

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Authors and Affiliations

  1. Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand, 249404, India

    Vibhor Kumar Vishnoi & Krishan Kumar

  2. Department of Computer Science & IT, MJP Rohilkhand University, Bareilly, Uttar Pradesh, 243006, India

    Brajesh Kumar

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Appendix A. Summary of the research work for different crops

Appendix A. Summary of the research work for different crops

See Tables 2, 3, 4, 5, 6, 7, 8, 9, and 10.

Table 2 Summary of grain (rice) culture
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Table 3 Summary of grain (wheat and corn) cultures
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Table 4 Summary of grain (soybean and millet) cultures
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Table 5 A summary of profit crops (cotton, sugar beet, groundnut, cane)
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Table 6 A summary of the mixed (Assorted) crops
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Table 7 A summary of horticulture crops—fruits (apple, citrus, cherry)
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Table 8 A summary of the horticulture crops—fruits (grape, pomegranate) and flowers (palm oil plants, orchid, and lentil)
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Table 9 A summary of the horticulture crops—vegetables (potato, chili, bean, cassava, cucumber)
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Table 10 A summary of the horticulture crops—vegetables (tomato, pepper bell)
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Vishnoi, V.K., Kumar, K. & Kumar, B. Plant disease detection using computational intelligence and image processing. J Plant Dis Prot 128, 19–53 (2021). https://doi.org/10.1007/s41348-020-00368-0

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