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A Review of Disease Detection Emerging Technologies of Pre and Post harvest Plant Diseases: Recent Developments and Future Prospects

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Computer Vision and Robotics

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

In several countries like India, Agriculture is the most important source, which furnishes the national income. Diseases in crops are serious issues that degrade the quantity together with the quality of production, which in turn leads to losses in the financial system. There are numerous technologies that have been emerged to minimize the effects of plant diseases (PDs). Gas sensors along with image analysis tools are often incorporated into smart devices for Plant Disease Detection (PDD). These disease detection (DD) methodologies are classified into 2 groups: (I) pre-harvest DD and (II) post-harvest DD. In this work, the existing DD methods are reviewed together with that; these methodologies are contrasted with the recently innovated smart devices that characterize visible imaging, profiling, and hyper-spectral (HS) images. Additionally, the attempts to automate imaging methodologies that augmented the DD systems were also reviewed in this work. The novel Feature Extraction (FE) methodologies are evaluated for detecting those that perform well enclosing wheat accompanied by rice classes. This survey would aid the scholars in getting knowledge about the utilization of computer vision in PDD or Plant Disease Classification (PDC).

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Author information

Authors and Affiliations

  1. Department of Computer Science, Banasthali Vidyapith, Tonk, Rajasthan, 304022, India

    Sakshi Pandey & Kuldeep Kumar Yogi

  2. Department of Engineering and Technology, Rajasthan University, Jaipur, 302004, India

    Ayush Ranjan

Authors
  1. Sakshi Pandey
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  2. Kuldeep Kumar Yogi
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  3. Ayush Ranjan
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Corresponding author

Correspondence to Sakshi Pandey .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, Uttar Pradesh, India

    Praveen Kumar Shukla

  2. Department of Information Technology, Indian Institute of Information Technology, Allahabad, Prayagraj, Uttar Pradesh, India

    Krishna Pratap Singh

  3. Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India

    Ashish Kumar Tripathi

  4. Department of Industrial Engineering and Computer Science Division, University of Stellenbosch, Matieland, South Africa

    Andries Engelbrecht

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Pandey, S., Yogi, K.K., Ranjan, A. (2023). A Review of Disease Detection Emerging Technologies of Pre and Post harvest Plant Diseases: Recent Developments and Future Prospects. In: Shukla, P.K., Singh, K.P., Tripathi, A.K., Engelbrecht, A. (eds) Computer Vision and Robotics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-7892-0_3

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