IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v183y2017icp116-122.html
   My bibliography  Save this article

A new model for water balance estimation on lettuce crops using effective diameter obtained with image analysis

Author

Listed:
  • González-Esquiva, J.M.
  • García-Mateos, G.
  • Escarabajal-Henarejos, D.
  • Hernández-Hernández, J.L.
  • Ruiz-Canales, A.
  • Molina-Martínez, J.M.

Abstract

Digital processing and analysis of vegetation cover images allow a precise calculation of some parameters related to crop development, which are linked to the estimation of irrigation requirements of the plants. In this paper, a new methodology for visual monitoring of horticultural crops and computation of the corresponding water needs is presented. The proposed approach is based on the concept of effective diameter, defined as the equivalent diameter of a plant biomass as seen from a top view. It has been applied to a ‘Little Gem’ lettuce crop. The percentage of green cover (PGC), computed by means of a digital processing of captured coverage images, is used to provide accurate estimates of the effective diameter of the plants. Then, this value can be precisely related with some important parameters in agronomy such as root depth, height of the plants, and crop coefficient Kc. Since Kc is an essential parameter in most existing methodologies for water balance estimation, an extensive comparative study on the accuracy of the proposed approach with respect to two alternative methods has been conducted. The first approach is based on PGC and crop density data, while the second is exclusively based on image analysis. The proposed method behaved significantly better in all cases, yielding a coefficient of determination, R2, to the actual Kc values obtained with a Bowen station always above 0.95, and a maximum relative error of only 2.1%. Moreover, the proposed methodology also produced accurate estimates of root depth with R2 values above 0.986 and maximum error below 9%. This approach not only leads to a reduction of water consumption compared to traditional estimation methods, but it also simplifies the required computations and field equipment.

Suggested Citation

  • González-Esquiva, J.M. & García-Mateos, G. & Escarabajal-Henarejos, D. & Hernández-Hernández, J.L. & Ruiz-Canales, A. & Molina-Martínez, J.M., 2017. "A new model for water balance estimation on lettuce crops using effective diameter obtained with image analysis," Agricultural Water Management, Elsevier, vol. 183(C), pages 116-122.
    • Handle: RePEc:eee:agiwat:v:183:y:2017:i:c:p:116-122
    DOI: 10.1016/j.agwat.2016.11.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377416304620
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2016.11.019?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. Escarabajal-Henarejos, D. & Molina-Martínez, J.M. & Fernández-Pacheco, D.G. & García-Mateos, G., 2015. "Methodology for obtaining prediction models of the root depth of lettuce for its application in irrigation automation," Agricultural Water Management, Elsevier, vol. 151(C), pages 167-173.
    2. García-Mateos, G. & Hernández-Hernández, J.L. & Escarabajal-Henarejos, D. & Jaén-Terrones, S. & Molina-Martínez, J.M., 2015. "Study and comparison of color models for automatic image analysis in irrigation management applications," Agricultural Water Management, Elsevier, vol. 151(C), pages 158-166.
    3. López-Urrea, R. & Martín de Santa Olalla, F. & Montoro, A. & López-Fuster, P., 2009. "Single and dual crop coefficients and water requirements for onion (Allium cepa L.) under semiarid conditions," Agricultural Water Management, Elsevier, vol. 96(6), pages 1031-1036, June.
    4. Escarabajal-Henarejos, D. & Molina-Martínez, J.M. & Fernández-Pacheco, D.G. & Cavas-Martínez, F. & García-Mateos, G., 2015. "Digital photography applied to irrigation management of Little Gem lettuce," Agricultural Water Management, Elsevier, vol. 151(C), pages 148-157.
    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. Hernández-Hernández, J.L. & Ruiz-Hernández, J. & García-Mateos, G. & González-Esquiva, J.M. & Ruiz-Canales, A. & Molina-Martínez, J.M., 2017. "A new portable application for automatic segmentation of plants in agriculture," Agricultural Water Management, Elsevier, vol. 183(C), pages 146-157.
    2. González-Esquiva, J.M. & García-Mateos, G. & Hernández-Hernández, J.L. & Ruiz-Canales, A. & Escarabajal-Henerajos, D. & Molina-Martínez, J.M., 2017. "Web application for analysis of digital photography in the estimation of irrigation requirements for lettuce crops," Agricultural Water Management, Elsevier, vol. 183(C), pages 136-145.
    3. García-Mateos, G. & Hernández-Hernández, J.L. & Escarabajal-Henarejos, D. & Jaén-Terrones, S. & Molina-Martínez, J.M., 2015. "Study and comparison of color models for automatic image analysis in irrigation management applications," Agricultural Water Management, Elsevier, vol. 151(C), pages 158-166.
    4. Jiménez-Carvajal, C. & Ruiz-Peñalver, L. & Vera-Repullo, J.A. & Jiménez-Buendía, M. & Antolino-Merino, A. & Molina-Martínez, J.M., 2017. "Weighing lysimetric system for the determination of the water balance during irrigation in potted plants," Agricultural Water Management, Elsevier, vol. 183(C), pages 78-85.
    5. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Escarabajal-Henarejos, D. & Fernández-Pacheco, D.G. & Molina-Martínez, J.M. & Martínez-Molina, L. & Ruiz-Canales, A., 2015. "Selection of device to determine temperature gradients for estimating evapotranspiration using energy balance method," Agricultural Water Management, Elsevier, vol. 151(C), pages 136-147.
    7. Escarabajal-Henarejos, D. & Molina-Martínez, J.M. & Fernández-Pacheco, D.G. & Cavas-Martínez, F. & García-Mateos, G., 2015. "Digital photography applied to irrigation management of Little Gem lettuce," Agricultural Water Management, Elsevier, vol. 151(C), pages 148-157.
    8. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    9. Escarabajal-Henarejos, D. & Molina-Martínez, J.M. & Fernández-Pacheco, D.G. & García-Mateos, G., 2015. "Methodology for obtaining prediction models of the root depth of lettuce for its application in irrigation automation," Agricultural Water Management, Elsevier, vol. 151(C), pages 167-173.
    10. Ziya Altas & Mehmet Metin Ozguven & Yusuf Yanar, 2018. "Determination of Sugar Beet Leaf Spot Disease Level (Cercospora Beticola Sacc.) with Image Processing Technique by Using Drone," Current Investigations in Agriculture and Current Research, Lupine Publishers, LLC, vol. 5(3), pages 669-678, November.
    11. Salgado, Ramiro & Mateos, Luciano, 2021. "Evaluation of different methods of estimating ET for the performance assessment of irrigation schemes," Agricultural Water Management, Elsevier, vol. 243(C).
    12. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    13. Sánchez, J.M. & López-Urrea, R. & Rubio, E. & González-Piqueras, J. & Caselles, V., 2014. "Assessing crop coefficients of sunflower and canola using two-source energy balance and thermal radiometry," Agricultural Water Management, Elsevier, vol. 137(C), pages 23-29.
    14. Manuel Soler-Méndez & Dolores Parras-Burgos & Estefanía Mas-Espinosa & Antonio Ruíz-Canales & Diego S. Intrigliolo & José Miguel Molina-Martínez, 2021. "Standardization of the Dimensions of a Portable Weighing Lysimeter Designed to Be Applied to Vegetable Crops in Mediterranean Climates," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    15. Maselli, F. & Chiesi, M. & Angeli, L. & Fibbi, L. & Rapi, B. & Romani, M. & Sabatini, F. & Battista, P., 2020. "An improved NDVI-based method to predict actual evapotranspiration of irrigated grasses and crops," Agricultural Water Management, Elsevier, vol. 233(C).
    16. Flumignan, Danilton Luiz & de Faria, Rogério Teixeira & Prete, Cássio Egídio Cavenaghi, 2011. "Evapotranspiration components and dual crop coefficients of coffee trees during crop production," Agricultural Water Management, Elsevier, vol. 98(5), pages 791-800, March.
    17. Domínguez, A. & Martínez-Navarro, A. & López-Mata, E. & Tarjuelo, J.M. & Martínez-Romero, A., 2017. "Real farm management depending on the available volume of irrigation water (part I): Financial analysis," Agricultural Water Management, Elsevier, vol. 192(C), pages 71-84.
    18. Ramos, Tiago B. & Darouich, Hanaa & Oliveira, Ana R. & Farzamian, Mohammad & Monteiro, Tomás & Castanheira, Nádia & Paz, Ana & Gonçalves, Maria C. & Pereira, Luís S., 2023. "Water use and soil water balance of Mediterranean tree crops assessed with the SIMDualKc model in orchards of southern Portugal," Agricultural Water Management, Elsevier, vol. 279(C).
    19. Belo, Tessa R. & du Toit, Lindsey J. & Waters, Timothy D. & Derie, Michael L. & Schacht, Betsy & LaHue, Gabriel T., 2023. "Reducing the risk of onion bacterial diseases through managing irrigation frequency and final irrigation timing," Agricultural Water Management, Elsevier, vol. 288(C).
    20. Zhang, Kefeng & Hilton, Howard W. & Greenwood, Duncan J. & Thompson, Andrew J., 2011. "A rigorous approach of determining FAO56 dual crop coefficient using soil sensor measurements and inverse modeling techniques," Agricultural Water Management, Elsevier, vol. 98(6), pages 1081-1090, April.

    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:agiwat:v:183:y:2017:i:c:p:116-122. 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.elsevier.com/locate/agwat .

    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.