IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/9404565.html
   My bibliography  Save this article

Remote Sensing: An Advanced Technique for Crop Condition Assessment

Author

Listed:
  • Karim Ennouri
  • Abdelaziz Kallel

Abstract

Actually, cultivators are increasingly arranging innovative high technical and scientific estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant health. Innovative farming technologies incorporate biology with smart agriculture: computers and devices exchange with one another autonomously in a structured farm management system. Throughout this structure, smart agriculture can be accomplished; cultivators decrease plantation inputs (pesticides and fertilizers) and increase yields via integrated pest management and/or biological control. The emerging concept of remote sensing may provide a framework to systematically consider these issues of smart farming technology and to embed high-tech agriculture better. The impact(s) may be beneficial depending on how tools, such as data mining, and imagery technologies, such as picture treatment and analysis, are applied. Remote sensing technology is discussed in this review and demonstrates its possibility to create novel opportunities for scientists (and agronomists) to explore aspects of biological phenomena that cannot be accessed through usual mechanisms or processes.

Suggested Citation

  • Karim Ennouri & Abdelaziz Kallel, 2019. "Remote Sensing: An Advanced Technique for Crop Condition Assessment," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, July.
    • Handle: RePEc:hin:jnlmpe:9404565
    DOI: 10.1155/2019/9404565
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/9404565.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2019/9404565.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/9404565?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rubaiya Binte Mostafiz & Ryozo Noguchi & Tofael Ahamed, 2021. "Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices," Land, MDPI, vol. 10(2), pages 1-26, February.
    2. Muthumanickam Dhanaraju & Poongodi Chenniappan & Kumaraperumal Ramalingam & Sellaperumal Pazhanivelan & Ragunath Kaliaperumal, 2022. "Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture," Agriculture, MDPI, vol. 12(10), pages 1-26, October.
    3. Huaquan Zhang & Abbas Ali Chandio & Fan Yang & Yashuang Tang & Martinson Ankrah Twumasi & Ghulam Raza Sargani, 2022. "Modeling the Impact of Climatological Factors and Technological Revolution on Soybean Yield: Evidence from 13-Major Provinces of China," IJERPH, MDPI, vol. 19(9), pages 1-16, May.

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:9404565. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.