IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v13y2021i1p1-13.html
   My bibliography  Save this article

Lands DSS: A Decision Support System for Forecasting Crop Disease in Southern Sardinia

Author

Listed:
  • Gianni Fenu

    (University of Cagliari, Italy)

  • Francesca Maridina Malloci

    (University of Cagliari, Italy)

Abstract

Decision support systems (DSSs) are used in precision farming to address climate and environmental changes due to human action. However, increments in the amount of data produced continuously by the latest sensor and satellite technologies have recently incentivized the integration of artificial intelligence (AI). A review of research dedicated to the application of DSSs and AI in forecasting crop disease is proposed. In this paper, the authors describe the DSS LANDS developed for monitoring the main crop productions in Sardinia and the case study conducted to forecast potato late blight. A feed-forward neural network was implemented to investigate if weather data provided by regional stations could be used to predict a disease risk index using an AI technique. The test performed by stratified k-fold cross validation achieved an accuracy of 96%.

Suggested Citation

  • Gianni Fenu & Francesca Maridina Malloci, 2021. "Lands DSS: A Decision Support System for Forecasting Crop Disease in Southern Sardinia," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 13(1), pages 1-13, January.
    • Handle: RePEc:igg:jdsst0:v:13:y:2021:i:1:p:1-13
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2021010102
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manos, Basil D. & Ciani, Adriano & Bournaris, Thomas & Vassiliadou, I. & Papathanasiou, J., 2004. "A taxonomy survey of decision support systems in agriculture," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(2), pages 1-15, August.
    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. Patel, Jignesh & Bhatt, Chetan, 2015. "A CommonKADS Model Framework for Web Based Agricultural Decision Support System," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 5(4), pages 1-8, January.
    2. Stefano Casadei & Arnaldo Pierleoni & Michele Bellezza, 2018. "Sustainability of Water Withdrawals in the Tiber River Basin (Central Italy)," Sustainability, MDPI, vol. 10(2), pages 1-18, February.

    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:igg:jdsst0:v:13:y:2021:i:1:p:1-13. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.