IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v159y2015icp307-317.html
   My bibliography  Save this article

Daily forecasting of reference and strawberry crop evapotranspiration in greenhouses in a Mediterranean climate based on solar radiation estimates

Author

Listed:
  • Gavilán, Pedro
  • Ruiz, Natividad
  • Lozano, David

Abstract

This paper presents a method for carrying out daily forecasting of strawberry crop evapotranspiration (ETc), using forecasted greenhouse reference evapotranspiration values (ETogreen) and crop coefficients. ETogreen was estimated using two methods, the first based on incoming solar radiation and the second using the Makkink FAO-24 equation. In both cases, ETogreen was estimated using daily meteorological variables forecasted by the Spanish Meteorology National Agency (AEMET) and then comparing it with the result obtained using measured meteorological data under greenhouse conditions. In addition, values of estimated ETc using measured and forecasted meteorological data were also compared. Lastly, these values were compared with ETc measurements using drainage lysimeters. Incoming solar radiation was estimated from forecasted temperatures and sky cloudiness conditions. Forecasted outdoor and indoor incoming solar radiation values were more accurate using the method based on temperatures. Small differences and high correlations were observed when comparing forecasted and weather measured ETogreen and ETc. With respect to forecasted ETogreen, the errors were smaller when incoming solar radiation was estimated from forecasted temperature data, especially when using the Makkink equation, with underestimations below 3%. Therefore, these results suggest that the latter method is best suited to the task. Also, the use of forecasted ETc, especially from Makkink FAO24 equation, provided more accurate estimates when compared with lysimeter-measured values.

Suggested Citation

  • Gavilán, Pedro & Ruiz, Natividad & Lozano, David, 2015. "Daily forecasting of reference and strawberry crop evapotranspiration in greenhouses in a Mediterranean climate based on solar radiation estimates," Agricultural Water Management, Elsevier, vol. 159(C), pages 307-317.
    • Handle: RePEc:eee:agiwat:v:159:y:2015:i:c:p:307-317
    DOI: 10.1016/j.agwat.2015.06.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415300305
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2015.06.012?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. Orgaz, F. & Fernandez, M.D. & Bonachela, S. & Gallardo, M. & Fereres, E., 2005. "Evapotranspiration of horticultural crops in an unheated plastic greenhouse," Agricultural Water Management, Elsevier, vol. 72(2), pages 81-96, March.
    2. Gowing, J. W. & Ejieji, C. J., 2001. "Real-time scheduling of supplemental irrigation for potatoes using a decision model and short-term weather forecasts," Agricultural Water Management, Elsevier, vol. 47(2), pages 137-153, March.
    3. Luo, Yufeng & Chang, Xiaomin & Peng, Shizhang & Khan, Shahbaz & Wang, Weiguang & Zheng, Qiang & Cai, Xueliang, 2014. "Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts," Agricultural Water Management, Elsevier, vol. 136(C), pages 42-51.
    4. Cabelguenne, M. & Debaeke, Ph. & Puech, J. & Bosc, N., 1997. "Real time irrigation management using the EPIC-PHASE model and weather forecasts," Agricultural Water Management, Elsevier, vol. 32(3), pages 227-238, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lozano, David & Ruiz, Natividad & Gavilán, Pedro, 2016. "Consumptive water use and irrigation performance of strawberries," Agricultural Water Management, Elsevier, vol. 169(C), pages 44-51.
    2. Yang, Yang & Cui, Yuanlai & Luo, Yufeng & Lyu, Xinwei & Traore, Seydou & Khan, Shahbaz & Wang, Weiguang, 2016. "Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 177(C), pages 329-339.
    3. Patricia Malva Costa & Isabel Pôças & Mário Cunha, 2019. "Modelling evapotranspiration of soilless cut roses 'Red Naomi' based on climatic and crop predictors," Horticultural Science, Czech Academy of Agricultural Sciences, vol. 46(2), pages 107-114.
    4. Ohana-Levi, Noa & Ben-Gal, Alon & Munitz, Sarel & Netzer, Yishai, 2022. "Grapevine crop evapotranspiration and crop coefficient forecasting using linear and non-linear multiple regression models," Agricultural Water Management, Elsevier, vol. 262(C).
    5. Saadon, Tal & Lazarovitch, Naftali & Jerszurki, Daniela & Tas, Eran, 2021. "Predicting net radiation in naturally ventilated greenhouses based on outside global solar radiation for reference evapotranspiration estimation," Agricultural Water Management, Elsevier, vol. 257(C).
    6. Gallardo, Marisa & Elia, Antonio & Thompson, Rodney B., 2020. "Decision support systems and models for aiding irrigation and nutrient management of vegetable crops," Agricultural Water Management, Elsevier, vol. 240(C).
    7. Wang, Aihua & Gallardo, Marisa & Zhao, Wei & Zhang, Zhiping & Miao, Minmin, 2019. "Yield, nitrogen uptake and nitrogen leaching of tunnel greenhouse grown cucumber in a shallow groundwater region," Agricultural Water Management, Elsevier, vol. 217(C), pages 73-80.
    8. Gavilan, Pedro & Higueras, José L. & Lozano, David & Ruiz, Natividad, 2024. "The Riego Berry mobile application: A powerful tool to improve on-farm irrigation performance in berry crops," Agricultural Water Management, Elsevier, vol. 292(C).
    9. Abdelouhab Labihi & Paul Byrne & Amina Meslem & Florence Collet & Sylvie Prétot, 2023. "Heat Recovery Potential in a Semi-Closed Greenhouse for Tomato Cultivation," Clean Technol., MDPI, vol. 5(4), pages 1-27, September.
    10. Yan, Haofang & Deng, Shuaishuai & Zhang, Chuan & Wang, Guoqing & Zhao, Shuang & Li, Mi & Liang, Shaowei & Jiang, Jianhui & Zhou, Yudong, 2023. "Determination of energy partition of a cucumber grown Venlo-type greenhouse in southeast China," Agricultural Water Management, Elsevier, vol. 276(C).

    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. Gavilan, Pedro & Higueras, José L. & Lozano, David & Ruiz, Natividad, 2024. "The Riego Berry mobile application: A powerful tool to improve on-farm irrigation performance in berry crops," Agricultural Water Management, Elsevier, vol. 292(C).
    2. Cao, Jingjing & Tan, Junwei & Cui, Yuanlai & Luo, Yufeng, 2019. "Irrigation scheduling of paddy rice using short-term weather forecast data," Agricultural Water Management, Elsevier, vol. 213(C), pages 714-723.
    3. Corbari, Chiara & Salerno, Raffaele & Ceppi, Alessandro & Telesca, Vito & Mancini, Marco, 2019. "Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling," Agricultural Water Management, Elsevier, vol. 212(C), pages 283-294.
    4. Chen, Mengting & Cui, Yuanlai & Wang, Xiaonan & Xie, Hengwang & Liu, Fangping & Luo, Tongyuan & Zheng, Shizong & Luo, Yufeng, 2021. "A reinforcement learning approach to irrigation decision-making for rice using weather forecasts," Agricultural Water Management, Elsevier, vol. 250(C).
    5. Bohua Yu & Wei Song & Yanqing Lang, 2017. "Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
    6. Yang, Yang & Cui, Yuanlai & Luo, Yufeng & Lyu, Xinwei & Traore, Seydou & Khan, Shahbaz & Wang, Weiguang, 2016. "Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 177(C), pages 329-339.
    7. Cabelguenne, M. & Debaeke, P. & Bouniols, A., 1999. "EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages: validation on maize, sunflower, sorghum, soybea," Agricultural Systems, Elsevier, vol. 60(3), pages 175-196, June.
    8. Feng, Yu & Jia, Yue & Cui, Ningbo & Zhao, Lu & Li, Chen & Gong, Daozhi, 2017. "Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China," Agricultural Water Management, Elsevier, vol. 181(C), pages 1-9.
    9. Sangha, Laljeet & Shortridge, Julie & Frame, William, 2023. "The impact of nitrogen treatment and short-term weather forecast data in irrigation scheduling of corn and cotton on water and nutrient use efficiency in humid climates," Agricultural Water Management, Elsevier, vol. 283(C).
    10. Maisa’a W. Shammout & Tala Qtaishat & Hala Rawabdeh & Muhammad Shatanawi, 2018. "Improving Water Use Efficiency under Deficit Irrigation in the Jordan Valley," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    11. Gallardo, M. & Giménez, C. & Martínez-Gaitán, C. & Stöckle, C.O. & Thompson, R.B. & Granados, M.R., 2011. "Evaluation of the VegSyst model with muskmelon to simulate crop growth, nitrogen uptake and evapotranspiration," Agricultural Water Management, Elsevier, vol. 101(1), pages 107-117.
    12. Seydou Traore & Yufeng Luo & Guy Fipps, 2017. "Gene-Expression Programming for Short-Term Forecasting of Daily Reference Evapotranspiration Using Public Weather Forecast Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4891-4908, December.
    13. Gallardo, M. & Thompson, R.B. & Rodríguez, J.S. & Rodríguez, F. & Fernández, M.D. & Sánchez, J.A. & Magán, J.J., 2009. "Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate," Agricultural Water Management, Elsevier, vol. 96(12), pages 1773-1784, December.
    14. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    15. Chang, Jie & Wu, Xu & Liu, Anqin & Wang, Yan & Xu, Bin & Yang, Wu & Meyerson, Laura A. & Gu, Baojing & Peng, Changhui & Ge, Ying, 2011. "Assessment of net ecosystem services of plastic greenhouse vegetable cultivation in China," Ecological Economics, Elsevier, vol. 70(4), pages 740-748, February.
    16. Qiu, Rangjian & Luo, Yufeng & Wu, Jingwei & Zhang, Baozhong & Liu, Zhihe & Agathokleous, Evgenios & Yang, Xiumei & Hu, Wei & Clothier, Brent, 2023. "Short–term forecasting of daily evapotranspiration from rice using a modified Priestley–Taylor model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 277(C).
    17. Yufeng Luo & Seydou Traore & Xinwei Lyu & Weiguang Wang & Ying Wang & Yongyu Xie & Xiyun Jiao & Guy Fipps, 2015. "Medium Range Daily Reference Evapotranspiration Forecasting by Using ANN and Public Weather Forecasts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3863-3876, August.
    18. M. Mekonnen & A. Hoekstra & R. Becht, 2012. "Mitigating the Water Footprint of Export Cut Flowers from the Lake Naivasha Basin, Kenya," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3725-3742, October.
    19. Zhang, Lei & Traore, Seydou & Cui, Yuanlai & Luo, Yufeng & Zhu, Ge & Liu, Bo & Fipps, Guy & Karthikeyan, R. & Singh, Vijay, 2019. "Assessment of spatiotemporal variability of reference evapotranspiration and controlling climate factors over decades in China using geospatial techniques," Agricultural Water Management, Elsevier, vol. 213(C), pages 499-511.
    20. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).

    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:159:y:2015:i:c:p:307-317. 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.