IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v473y2022ics0304380022002484.html
   My bibliography  Save this article

A smart decision framework for the prediction of thrips incidence in organic banana crops

Author

Listed:
  • Campos, Jean C.
  • Manrique-Silupú, José
  • Dorneanu, Bogdan
  • Ipanaqué, William
  • Arellano-García, Harvey

Abstract

Various pests which diminish the quality of the fruit have a big influence on the organic banana production in the Piura region of Peru (and not only) and prevent it from being sold on the international market. In this study, a framework for facilitating the prediction of the pest incidence in organic banana crops is developed. To achieve this, a data acquisition system with smart sensors is implemented to monitor the meteorological variables that influence the growth of the pests. The proposed framework is utilised for the assessment of various mathematical representations of the pest incidence. These models are adapted from population growth functions and built in such way as to predict the behaviour of the insects at non-regular time intervals. A hybrid approach, combining mechanistic and data-based methods is utilised for the development of the models. Both linear and nonlinear dynamic relationships with the temperature are assumed. The results show that nonlinear model representations have greater accuracy (a fit index of more than 70%), which provides a basis for improving pest management actions on the organic banana farms.

Suggested Citation

  • Campos, Jean C. & Manrique-Silupú, José & Dorneanu, Bogdan & Ipanaqué, William & Arellano-García, Harvey, 2022. "A smart decision framework for the prediction of thrips incidence in organic banana crops," Ecological Modelling, Elsevier, vol. 473(C).
    • Handle: RePEc:eee:ecomod:v:473:y:2022:i:c:s0304380022002484
    DOI: 10.1016/j.ecolmodel.2022.110147
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022002484
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.110147?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. Pushpa Singh & Narendra Singh, 2020. "Blockchain With IoT and AI: A Review of Agriculture and Healthcare," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 11(4), pages 13-27, October.
    2. Machovina, Brian & Feeley, Kenneth J., 2013. "Climate change driven shifts in the extent and location of areas suitable for export banana production," Ecological Economics, Elsevier, vol. 95(C), pages 83-95.
    3. Romeo Urbieta Parrazales & María T. Zagaceta Álvarez & Karen A. Aguilar Cruz & Rosaura Palma Orozco & José L. Fernández Muñoz, 2021. "Implementation of a Fuzzy Logic Controller for the Irrigation of Rose Cultivation in Mexico," Agriculture, MDPI, vol. 11(7), pages 1-12, June.
    4. Sebastian Kujawa & Gniewko Niedbała, 2021. "Artificial Neural Networks in Agriculture," Agriculture, MDPI, vol. 11(6), pages 1-6, May.
    5. Stella Despoudi & Konstantina Spanaki & Oscar Rodriguez-Espindola & Efpraxia D. Zamani, 2021. "Agricultural Supply Chains and Industry 4.0," Springer Books, Springer, number 978-3-030-72770-3, October.
    6. Kamrani, Kazem & Roozbahani, Abbas & Hashemy Shahdany, Seied Mehdy, 2020. "Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus," Agricultural Water Management, Elsevier, vol. 239(C).
    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. Fatemeh Bayat & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany, 2022. "Performance Evaluation of Agricultural Surface Water Distribution Systems Based on Water-food-energy Nexus and Using AHP-Entropy-WASPAS Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4697-4720, September.
    2. Penglong Wang & Yao Wei & Fanglei Zhong & Xiaoyu Song & Bao Wang & Qinhua Wang, 2022. "Evaluation of Agricultural Water Resources Carrying Capacity and Its Influencing Factors: A Case Study of Townships in the Arid Region of Northwest China," Agriculture, MDPI, vol. 12(5), pages 1-24, May.
    3. Singh, Kuntal & McClean, Colin J. & Büker, Patrick & Hartley, Sue E. & Hill, Jane K., 2017. "Mapping regional risks from climate change for rainfed rice cultivation in India," Agricultural Systems, Elsevier, vol. 156(C), pages 76-84.
    4. Majid Ali & Muhammad Naveed Anjum & Donghui Shangguan & Safdar Hussain, 2022. "Water, Energy, and Food Nexus in Pakistan: Parametric and Non-Parametric Analysis," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    5. Vantyghem, Mathilde & Merckx, Roel & Stevens, Bert & Hood-Nowotny, Rebecca & Swennen, Rony & Dercon, Gerd, 2022. "The potential of stable carbon isotope ratios and leaf temperature as proxies for drought stress in banana under field conditions," Agricultural Water Management, Elsevier, vol. 260(C).
    6. Marek Gaworski & Piotr F. Borowski & Łukasz Kozioł, 2022. "Supporting Decision-Making in the Technical Equipment Selection Process by the Method of Contradictory Evaluations," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    7. Iqbal Hasan & Azad Srivastava & Zishan Raza Khan & S. A. M. Rizvi, 2023. "A Novel Fuzzy Inference-Based Decision Support System for Crop Water Optimization," SN Operations Research Forum, Springer, vol. 4(2), pages 1-15, June.
    8. Javad Shafiee Neyestanak & Abbas Roozbahani, 2021. "Comprehensive Risk Assessment of Urban Wastewater Reuse in Water Supply Alternatives Using Hybrid Bayesian Network Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 5049-5072, November.
    9. Minglu Wang & Bruce A. McCarl, 2021. "Impacts of Climate Change on Livestock Location in the US: A Statistical Analysis," Land, MDPI, vol. 10(11), pages 1-20, November.
    10. Shirin Ghatrehsamani & Gaurav Jha & Writuparna Dutta & Faezeh Molaei & Farshina Nazrul & Mathieu Fortin & Sangeeta Bansal & Udit Debangshi & Jasmine Neupane, 2023. "Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    11. Hamzeh Ahmadi & Gholamabbas Fallah Ghalhari & Mohammad Baaghideh, 2019. "Impacts of climate change on apple tree cultivation areas in Iran," Climatic Change, Springer, vol. 153(1), pages 91-103, March.
    12. Avargani, Habib Karimi & Hashemy Shahdany, S. Mehdy & Kamrani, Kazem & Maestre, Jose, M. & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid, 2022. "Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity," Agricultural Water Management, Elsevier, vol. 269(C).
    13. Li Bin & Muhammad Shahzad & Hira Khan & Muhammad Mehran Bashir & Arif Ullah & Muhammad Siddique, 2023. "Sustainable Smart Agriculture Farming for Cotton Crop: A Fuzzy Logic Rule Based Methodology," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    14. Jolfan, Mohsen Hosseini & Hashemy Shahdany, S. Mehdy & Javadi, Saman & Milan, Sami Ghordoyee & Neshat, Aminreza & Berndtsson, Ronny & Tork, Hamed, 2023. "Modernization in agricultural water distribution system for aquifer storage and recovery – A case study," Agricultural Water Management, Elsevier, vol. 282(C).
    15. Cristian Silviu Simionescu & Ciprian Petrisor Plenovici & Constanta Laura Augustin & Maria Magdalena Turek Rahoveanu & Adrian Turek Rahoveanu & Gheorghe Adrian Zugravu, 2022. "Fuzzy Quality Certification of Wheat," Agriculture, MDPI, vol. 12(10), pages 1-13, October.
    16. Ali Sardar Shahraki & Tommaso Caloiero & Ommolbanin Bazrafshan, 2023. "Influence of Climatic Factors on Yields of Pistachio, Mango, and Bananas in Iran," Sustainability, MDPI, vol. 15(11), pages 1-14, June.
    17. Afsaneh Kaghazchi & Seied Mehdy Hashemy Shahdany & Alireza Firoozfar, 2022. "Prioritization of agricultural water distribution operating systems based on the sustainable development indicators," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 23-40, February.
    18. Lauren E. Parker & John T. Abatzoglou, 2018. "Shifts in the thermal niche of almond under climate change," Climatic Change, Springer, vol. 147(1), pages 211-224, March.
    19. Bonfiglio, A. & Camaioni, B. & Carta, V. & Cristiano, S., 2023. "Estimating the common agricultural policy milestones and targets by neural networks," Evaluation and Program Planning, Elsevier, vol. 99(C).
    20. Annalisa Marini & Steve McCorriston, 2019. "Weather, Prices and Spillovers," Discussion Papers 1905, University of Exeter, Department of Economics.

    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:eee:ecomod:v:473:y:2022:i:c:s0304380022002484. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.