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Decision support system for Western Flower Thrips management in roses production

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  • Tay, Ahmad
  • Lafont, Frédéric
  • Balmat, Jean-François
  • Pessel, Nathalie
  • Lhoste-Drouineau, Ange

Abstract

The objective of this study is to develop an innovative system to assess the risk of pests using a fuzzy logic approach. The system is designed to provide farmers with an index representing an estimate of the risk of presence of Western Flower Thrips (WFT), Frankliniella occidentalis in a roses greenhouse. For this purpose, a modular knowledge-based decision support system has been designed. The major findings of our research are summarized in four points. First of all, the model is based on variables measured automatically via sensors and do not require human activity (damaged area of a leaf, sex ratio). Secondly, as the system is not only oriented toward experimentation and research centers but also farmers, the phenomenon of manual counting could be replaced by a predicted value. In addition, the novelty associated with the system is that it supplies a daily rather than a weekly estimate of WFT risk level. In so doing, the farmers could stay aware of the influence of daily weather conditions on its evolution. Finally, this study could be beneficial to help reduce the utilization of pesticides and decrease the percentage of production loss, due to continuous monitoring of the risk level in the greenhouse. Because the development of F. occidentalis is highly sensitive to climate change, and in order to enhance the assessment of pest risk, an approach, which combines data related to the type of rose, the duration of sunlight and meteorological conditions, was followed. Simulation results are displayed at the end to validate our approach.

Suggested Citation

  • Tay, Ahmad & Lafont, Frédéric & Balmat, Jean-François & Pessel, Nathalie & Lhoste-Drouineau, Ange, 2021. "Decision support system for Western Flower Thrips management in roses production," Agricultural Systems, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:agisys:v:187:y:2021:i:c:s0308521x20308805
    DOI: 10.1016/j.agsy.2020.103019
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    References listed on IDEAS

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    1. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    2. Hicham Fatnassi & Jeannine Pizzol & Rachid Senoussi & Antonio Biondi & Nicolas Desneux & Christine Poncet & Thierry Boulard, 2015. "Within-Crop Air Temperature and Humidity Outcomes on Spatio-Temporal Distribution of the Key Rose Pest Frankliniella occidentalis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    3. Tonnang, Henri E.Z. & Hervé, Bisseleua D.B. & Biber-Freudenberger, Lisa & Salifu, Daisy & Subramanian, Sevgan & Ngowi, Valentine B. & Guimapi, Ritter Y.A. & Anani, Bruce & Kakmeni, Francois M.M. & Aff, 2017. "Advances in crop insect modelling methods—Towards a whole system approach," Ecological Modelling, Elsevier, vol. 354(C), pages 88-103.
    4. Roger Boll & Cécile Marchal & Christine Poncet & Laurent Lapchin, 2007. "Rapid visual estimates of Thrips (Thysanoptera: Thripidae) densities on cucumber and rose crops," Post-Print hal-02659536, HAL.
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