IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v67y2021i6id70-2020-agricecon.html
   My bibliography  Save this article

Finite automata model for leaf disease classification

Author

Listed:
  • V.T. Krishnaprasath

    (Department of Computer Science and Engineering, Nehru Institute of Engineering and Technology, Anna University, Tamilnadu, India)

  • J Preethi

    (Department of Computer Science and Engineering, Anna University Regional Campus, Coimbatore, Tamilnadu, India)

Abstract

In this modern era, the detection of plant disease plays a vital role in the sustainability of agricultural ecosystem. Today, India being second in farming, well-timed information related to crop is still questioning. Indian Government's farmer portal is available for pesticides, fertilisers, and farm machinery. To alleviate this problem, the paper describes a model to validate the leaf image, predicting leaf disease and notifying the farmer in an effective way on the harvest failure to stabilise farming income. For specific consideration on the validation, a data set library with predefined, uniformly scaled, regular image patterns of leaf disease, is maintained. The research suggests that farmers utilising the model can predict the breakout of leaf disease predominantly acquiring 100% yield.

Suggested Citation

  • V.T. Krishnaprasath & J Preethi, 2021. "Finite automata model for leaf disease classification," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(6), pages 220-226.
    • Handle: RePEc:caa:jnlage:v:67:y:2021:i:6:id:70-2020-agricecon
    DOI: 10.17221/70/2020-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/70/2020-AGRICECON.html
    Download Restriction: free of charge
    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/70/2020-AGRICECON.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/70/2020-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Viet HOANG, 2018. "Assessing the agricultural trade complementarity of the Association of Southeast Asian Nations countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(10), pages 464-475.
    2. Chih-Chun KUNG, 2018. "A dynamic framework of sustainable development in agriculture and bioenergy," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(10), pages 445-455.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hongbi Peng & Feng Yang, 2024. "Research on the Competitiveness and Complementarity of Agricultural Trade between China and the Association of Southeast Asian Nations," Sustainability, MDPI, vol. 16(16), pages 1-15, August.
    2. Yufei Xu & Zhangyi Ji & Chenming Jiang & Wei Xu & Cuixia Gao, 2024. "Examining the Coopetition Relationships in Renewable Energy Trade among BRI Countries: Complexity, Stability, and Evolution," Energies, MDPI, vol. 17(5), pages 1-16, March.
    3. Jing Han & Xiaoting Han & Zichun Pan, 2024. "Analysis of the Spatial Characteristics and Influencing Factors of Large-Scale Land Acquisition Projects in Southeast Asia," Land, MDPI, vol. 13(9), pages 1-17, September.
    4. Bisera Andric Gusavac & Milan Stanojevic & Mirjana Cangalovic, 2019. "Optimal treatment of agricultural land - special multi-depot vehicle routing problem," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(12), pages 569-578.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlage:v:67:y:2021:i:6:id:70-2020-agricecon. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.