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A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods

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Advanced Communication and Intelligent Systems (ICACIS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1749))

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Abstract

Growing crops for human consumption and financial benefit is known as agriculture. It is the capability of using cutting-edge methods to cultivate crops and raise animals. As a result, the quality of the crop production is crucial to the development of the economy. In the agriculture industry, plant diseases and pests pose the biggest threat to crop production. Thus, it is essential to develop a method for accurately recognizing these illnesses so that the appropriate steps can be taken to treat them, increasing crop quality and quantity. A reliable disease detection system can be created by combining tools for classifying and extracting information with computer vision or image processing techniques employing deep learning. Different researchers have offered different approaches for identifying plant diseases. This study analyses these techniques.

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Authors and Affiliations

  1. Student Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida, 201301, India

    Kashan Haider,  Prasandeep, Maaz Ahmed & Ankit Pal

  2. Faculty, Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida, 201301, India

    Sur Singh Rawat & Vimal Gupta

  3. University Center for Research and Development, Chandigarh University, Punjab, India

    Rabindra Nath Shaw & Ankush Ghosh

Authors
  1. Kashan Haider
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  2. Prasandeep
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  3. Maaz Ahmed
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  4. Ankit Pal
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  5. Sur Singh Rawat
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  6. Vimal Gupta
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  7. Rabindra Nath Shaw
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  8. Ankush Ghosh
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Correspondence to Sur Singh Rawat .

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Editors and Affiliations

  1. Bharath Institute of Higher Education and Research, Chennai, India

    Rabindra Nath Shaw

  2. Systems Research Institute, Warsaw, Poland

    Marcin Paprzycki

  3. The Neotia University, Sarisha, India

    Ankush Ghosh

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Haider, K. et al. (2023). A Comprehensive Study of Plant Disease Detection Using Deep Learning Methods. In: Shaw, R.N., Paprzycki, M., Ghosh, A. (eds) Advanced Communication and Intelligent Systems. ICACIS 2022. Communications in Computer and Information Science, vol 1749. Springer, Cham. https://doi.org/10.1007/978-3-031-25088-0_40

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  • DOI: https://doi.org/10.1007/978-3-031-25088-0_40

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