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Management zone delineation using a modified watershed algorithm

Author

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  • P. Roudier

    (UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts)

  • Bruno Tisseyre

    (UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts)

  • H. Poilvé

    (Infoterra Toulouse - InfoTerra)

  • J.-M. Roger

    (UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts)

Abstract

Le zonage intra-parcellaire est une méthode couramment utilisée pour gérer la variabilité intra-parcellaire. Ce concept consiste à partitionner une parcelle en zones de management selon une ou plusieurs caractéristiques du sol et/ou du couvert végétal de cette parcelle. Cet article propose une méthode de zonage originale, basée sur l'utilisation d'une méthode de segmentation d'image puissante et rapide : l'algorithme de ligne de partage des eaux. Cet algorithme d'analyse d'image a été adapté aux spécificités de l'agriculture de précision. Les performances de notre méthodes ont été testées sur des cartes biophysiques haute résolution de plusieurs champs de blé situés en Bourgogne. / Site-specific management (SSM) is a common way to manage within-field variability. This concept divides fields into site-specific management zones (SSMZ) according to one or several soil or crop characteristics. This paper proposes an original methodology for SSMZ delineation which is able to manage different kinds of crop and/or soil images using a powerful segmentation tool: the watershed algorithm. This image analysis algorithm was adapted to the specific constraints of precision agriculture. The algorithm was tested on high-resolution bio-physical images of a set of fields in France.

Suggested Citation

  • P. Roudier & Bruno Tisseyre & H. Poilvé & J.-M. Roger, 2008. "Management zone delineation using a modified watershed algorithm," Post-Print hal-00453898, HAL.
    • Handle: RePEc:hal:journl:hal-00453898
    DOI: 10.1007/s11119-008-9067-z
    Note: View the original document on HAL open archive server: https://hal.science/hal-00453898
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    References listed on IDEAS

    as
    1. Pringle, M. J. & McBratney, A. B. & Whelan, B. M. & Taylor, J. A., 2003. "A preliminary approach to assessing the opportunity for site-specific crop management in a field, using yield monitor data," Agricultural Systems, Elsevier, vol. 76(1), pages 273-292, April.
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    Cited by:

    1. Víctor M. Albornoz & Gabriel E. Zamora, 2021. "Decomposition-based heuristic for the zoning and crop planning problem with adjacency constraints," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 248-265, April.
    2. Corentin Leroux & Hazaël Jones & Léo Pichon & Serge Guillaume & Julien Lamour & James Taylor & Olivier Naud & Thomas Crestey & Jean-Luc Lablee & Bruno Tisseyre, 2018. "GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data," Agriculture, MDPI, vol. 8(6), pages 1-21, May.
    3. Víctor M. Albornoz & Lia C. Araneda & Rodrigo Ortega, 2022. "Planning and scheduling of selective harvest with management zones delineation," Annals of Operations Research, Springer, vol. 316(2), pages 873-890, September.

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