IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v242y2020ics0378377420302316.html
   My bibliography  Save this article

New technologies and practical approaches to improve irrigation management of open field vegetable crops

Author

Listed:
  • Zinkernagel, Jana
  • Maestre-Valero, Jose. F.
  • Seresti, Sogol Y.
  • Intrigliolo, Diego S.

Abstract

This is a brief review about irrigation scheduling tools and water management models for efficient on-farm watering of vegetable crops under open field conditions. This is the first step required for reducing water losses due to drainage and for minimizing the risk of underground water contamination. In addition, on-farm water productivity can be optimized by employing several irrigation scheduling protocols, and this review mainly focuses on commercial applications based on previous scientific findings. New advancements in remote sensing technologies, data processing, and management offer opportunities for optimizing decision making in terms of watering regime, particularly under the absence of water quality restrictions. For reducing deep percolation of water, it is important not only to properly determine the water requirements but also to tailor the frequency of irrigation to the soil characteristics and the growth of plant roots. Soil sensors are appropriate tools for achieving this goal, and several technologies are available and compared by considering their advantages and drawbacks. Current knowledge on models for computing water requirement is also considered for an integrated irrigation scheduling that combines data from different sources from the soil-plant-atmosphere continuum. The best irrigation technologies for on-farm water application should be combined with irrigation scheduling programs based on the knowledge of soil characteristics and water requirements of local crops to minimize water contamination risks.

Suggested Citation

  • Zinkernagel, Jana & Maestre-Valero, Jose. F. & Seresti, Sogol Y. & Intrigliolo, Diego S., 2020. "New technologies and practical approaches to improve irrigation management of open field vegetable crops," Agricultural Water Management, Elsevier, vol. 242(C).
  • Handle: RePEc:eee:agiwat:v:242:y:2020:i:c:s0378377420302316
    DOI: 10.1016/j.agwat.2020.106404
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420302316
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2020.106404?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. Ruiz-Peñalver, L. & Vera-Repullo, J.A. & Jiménez-Buendía, M. & Guzmán, I. & Molina-Martínez, J.M., 2015. "Development of an innovative low cost weighing lysimeter for potted plants: Application in lysimetric stations," Agricultural Water Management, Elsevier, vol. 151(C), pages 103-113.
    2. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.
    3. Abdelkhalik, Abdelsattar & Pascual-Seva, Nuria & Nájera, Inmaculada & Giner, Alfonso & Baixauli, Carlos & Pascual, Bernardo, 2019. "Yield response of seedless watermelon to different drip irrigation strategies under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 212(C), pages 99-110.
    4. Campoy, Jaime & Campos, Isidro & Plaza, Carmen & Calera, María & Jiménez, Nuria & Bodas, Vicente & Calera, Alfonso, 2019. "Water use efficiency and light use efficiency in garlic using a remote sensing-based approach," Agricultural Water Management, Elsevier, vol. 219(C), pages 40-48.
    5. Allen, Richard G. & Pruitt, William O. & Wright, James L. & Howell, Terry A. & Ventura, Francesca & Snyder, Richard & Itenfisu, Daniel & Steduto, Pasquale & Berengena, Joaquin & Yrisarry, Javier Basel, 2006. "A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 1-22, March.
    6. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    7. Du, Ya-Dan & Niu, Wen-Quan & Gu, Xiao-Bo & Zhang, Qian & Cui, Bing-Jing, 2018. "Water- and nitrogen-saving potentials in tomato production: A meta-analysis," Agricultural Water Management, Elsevier, vol. 210(C), pages 296-303.
    8. López-Riquelme, J.A. & Pavón-Pulido, N. & Navarro-Hellín, H. & Soto-Valles, F. & Torres-Sánchez, R., 2017. "A software architecture based on FIWARE cloud for Precision Agriculture," Agricultural Water Management, Elsevier, vol. 183(C), pages 123-135.
    9. Zotarelli, L. & Dukes, M.D. & Scholberg, J.M.S. & Muñoz-Carpena, R. & Icerman, J., 2009. "Tomato nitrogen accumulation and fertilizer use efficiency on a sandy soil, as affected by nitrogen rate and irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(8), pages 1247-1258, August.
    10. Gonzalez-Dugo, M.P. & Mateos, L., 2008. "Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops," Agricultural Water Management, Elsevier, vol. 95(1), pages 48-58, January.
    11. Visconti, Fernando & Salvador, Alejandra & Navarro, Pilar & de Paz, José Miguel, 2019. "Effects of three irrigation systems on ‘Piel de sapo’ melon yield and quality under salinity conditions," Agricultural Water Management, Elsevier, vol. 226(C).
    12. 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.
    13. Teixeira, A.H. de C. & Bastiaanssen, W.G.M. & Bassoi, L.H., 2007. "Crop water parameters of irrigated wine and table grapes to support water productivity analysis in the Sao Francisco river basin, Brazil," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 31-42, December.
    14. Ali Rahimikhoob & Mahmood Behbahani & Javad Fakheri, 2012. "An Evaluation of Four Reference Evapotranspiration Models in a Subtropical Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2867-2881, August.
    15. Gavilan, Pedro & Berengena, Joaquin & Allen, Richard G., 2007. "Measuring versus estimating net radiation and soil heat flux: Impact on Penman-Monteith reference ET estimates in semiarid regions," Agricultural Water Management, Elsevier, vol. 89(3), pages 275-286, May.
    16. de Medeiros, Gerson A. & Arruda, Flavio B. & Sakai, Emilio & Fujiwara, Mamor, 2001. "The influence of crop canopy on evapotranspiration and crop coefficient of beans (Phaseolus vulgaris L.)," Agricultural Water Management, Elsevier, vol. 49(3), pages 211-224, August.
    17. Ramos, J.G. & Cratchley, C.R. & Kay, J.A. & Casterad, M.A. & Martnez-Cob, A. & Domnguez, R., 2009. "Evaluation of satellite evapotranspiration estimates using ground-meteorological data available for the Flumen District into the Ebro Valley of N.E. Spain," Agricultural Water Management, Elsevier, vol. 96(4), pages 638-652, April.
    18. Bastiaanssen, Wim G. M. & Molden, David J. & Makin, Ian W., 2000. "Remote sensing for irrigated agriculture: examples from research and possible applications," Agricultural Water Management, Elsevier, vol. 46(2), pages 137-155, December.
    19. 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).
    20. Erdem, Yesim & Arin, Levent & Erdem, Tolga & Polat, Serdar & Deveci, Murat & Okursoy, Hakan & Gültas, Hüseyin T., 2010. "Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)," Agricultural Water Management, Elsevier, vol. 98(1), pages 148-156, December.
    21. Mateos, L. & González-Dugo, M.P. & Testi, L. & Villalobos, F.J., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. I. Method validation," Agricultural Water Management, Elsevier, vol. 125(C), pages 81-91.
    22. Cardenas-Lailhacar, B. & Dukes, M.D., 2010. "Precision of soil moisture sensor irrigation controllers under field conditions," Agricultural Water Management, Elsevier, vol. 97(5), pages 666-672, May.
    23. Jayanthi, Harikishan & Neale, Christopher M.U. & Wright, James L., 2007. "Development and validation of canopy reflectance-based crop coefficient for potato," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 235-246, March.
    24. Soulis, Konstantinos X. & Elmaloglou, Stamatios & Dercas, Nicholas, 2015. "Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems," Agricultural Water Management, Elsevier, vol. 148(C), pages 258-268.
    25. Yasuor, Hagai & Yermiyahu, Uri & Ben-Gal, Alon, 2020. "Consequences of irrigation and fertigation of vegetable crops with variable quality water: Israel as a case study," Agricultural Water Management, Elsevier, vol. 242(C).
    26. Liu, Xiaoying & Mei, Xurong & Li, Yuzhong & Wang, Qingsuo & Zhang, Yanqing & Porter, John Roy, 2009. "Variation in reference crop evapotranspiration caused by the Ångström-Prescott coefficient: Locally calibrated versus the FAO recommended," Agricultural Water Management, Elsevier, vol. 96(7), pages 1137-1145, July.
    27. Jensen, Christian R. & Battilani, Adriano & Plauborg, Finn & Psarras, Georgios & Chartzoulakis, Kostas & Janowiak, Franciszek & Stikic, Radmila & Jovanovic, Zorica & Li, Guitong & Qi, Xuebin & Liu, Fu, 2010. "Deficit irrigation based on drought tolerance and root signalling in potatoes and tomatoes," Agricultural Water Management, Elsevier, vol. 98(3), pages 403-413, December.
    28. Badr, M.A. & El-Tohamy, W.A. & Zaghloul, A.M., 2012. "Yield and water use efficiency of potato grown under different irrigation and nitrogen levels in an arid region," Agricultural Water Management, Elsevier, vol. 110(C), pages 9-15.
    29. Kullberg, Emily G. & DeJonge, Kendall C. & Chávez, José L., 2017. "Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients," Agricultural Water Management, Elsevier, vol. 179(C), pages 64-73.
    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. Guilherme Jesus & Martim L. Aguiar & Pedro D. Gaspar, 2022. "Computational Tool to Support the Decision in the Selection of Alternative and/or Sustainable Refrigerants," Energies, MDPI, vol. 15(22), pages 1-20, November.
    2. 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.
    3. M. A. Abdelzaher & Mohamed M. Awad, 2022. "Sustainable Development Goals for the Circular Economy and the Water-Food Nexus: Full Implementation of New Drip Irrigation Technologies in Upper Egypt," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    4. Sara Sturiale & Oriana Gava & Marisa Gallardo & Dolores Buendía Guerrero & Dursun Buyuktas & Gulcin Ece Aslan & Asma Laarif & Thameur Bouslama & Alejandra Navarro & Luca Incrocci & Fabio Bartolini, 2024. "Environmental and Economic Performance of Greenhouse Cropping in the Mediterranean Basin: Lessons Learnt from a Cross-Country Comparison," Sustainability, MDPI, vol. 16(11), pages 1-20, May.
    5. Antonio Valente & Carlos Costa & Leonor Pereira & Bruno Soares & José Lima & Salviano Soares, 2022. "A LoRaWAN IoT System for Smart Agriculture for Vine Water Status Determination," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    6. Bwambale, Erion & Abagale, Felix K. & Anornu, Geophrey K., 2022. "Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review," Agricultural Water Management, Elsevier, vol. 260(C).
    7. Nong, Duy & Mason-D’Croz, Daniel & Lu, Yingying & Marcos Martinez, Raymundo & Palmer, Jeda, 2021. "An introduction of GTEM-Food: A baseline calibration with a focus on food," Conference papers 333304, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Dina Pereira & Joao Carlos Correia Leitao & Pedro Dinis Gaspar & Cristina Fael & Isabel Falorca & Wael Khairy & Nadya Wahid & Hicham El Yousfi & Bassou Bouazzama & Jan Siering & Harald Hansmann & Jele, 2023. "Exploring Irrigation and Water Supply Technologies for Smallholder Farmers in the Mediterranean Region," Sustainability, MDPI, vol. 15(8), pages 1-25, April.

    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. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    2. Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
    3. Consoli, S. & Vanella, D., 2014. "Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model," Agricultural Water Management, Elsevier, vol. 143(C), pages 71-81.
    4. Carpintero, E. & Mateos, L. & Andreu, A. & González-Dugo, M.P., 2020. "Effect of the differences in spectral response of Mediterranean tree canopies on the estimation of evapotranspiration using vegetation index-based crop coefficients," Agricultural Water Management, Elsevier, vol. 238(C).
    5. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    6. Garrido-Rubio, Jesús & González-Piqueras, Jose & Campos, Isidro & Osann, Anna & González-Gómez, Laura & Calera, Alfonso, 2020. "Remote sensing–based soil water balance for irrigation water accounting at plot and water user association management scale," Agricultural Water Management, Elsevier, vol. 238(C).
    7. Laura Ávila-Dávila & José Miguel Molina-Martínez & Carlos Bautista-Capetillo & Manuel Soler-Méndez & Cruz Octavio Robles Rovelo & Hugo Enrique Júnez-Ferreira & Julián González-Trinidad, 2021. "Estimation of the Evapotranspiration and Crop Coefficients of Bell Pepper Using a Removable Weighing Lysimeter: A Case Study in the Southeast of Spain," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    8. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Bahrami, Mahdi, 2018. "Estimating net irrigation requirement of winter wheat using model- and satellite-based single and basal crop coefficients," Agricultural Water Management, Elsevier, vol. 208(C), pages 95-106.
    9. Bonfante, A. & Monaco, E. & Manna, P. & De Mascellis, R. & Basile, A. & Buonanno, M. & Cantilena, G. & Esposito, A. & Tedeschi, A. & De Michele, C. & Belfiore, O. & Catapano, I. & Ludeno, G. & Salinas, 2019. "LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study," Agricultural Systems, Elsevier, vol. 176(C).
    10. Wang, Tianxin & Melton, Forrest S. & Pôças, Isabel & Johnson, Lee F. & Thao, Touyee & Post, Kirk & Cassel-Sharma, Florence, 2021. "Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry," Agricultural Water Management, Elsevier, vol. 244(C).
    11. Mokhtari, Ali & Noory, Hamideh & Vazifedoust, Majid & Palouj, Mojtaba & Bakhtiari, Atousa & Barikani, Elham & Zabihi Afrooz, Ramezan Ali & Fereydooni, Fatemeh & Sadeghi Naeni, Ali & Pourshakouri, Farr, 2019. "Evaluation of single crop coefficient curves derived from Landsat satellite images for major crops in Iran," Agricultural Water Management, Elsevier, vol. 218(C), pages 234-249.
    12. Campos, Isidro & Balbontín, Claudio & González-Piqueras, Jose & González-Dugo, Maria P. & Neale, Christopher M.U. & Calera, Alfonso, 2016. "Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards," Agricultural Water Management, Elsevier, vol. 165(C), pages 141-152.
    13. 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).
    14. Campos, Isidro & Neale, Christopher M.U. & Calera, Alfonso & Balbontín, Claudio & González-Piqueras, Jose, 2010. "Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)," Agricultural Water Management, Elsevier, vol. 98(1), pages 45-54, December.
    15. Zhang, Yu & Han, Wenting & Zhang, Huihui & Niu, Xiaotao & Shao, Guomin, 2023. "Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 275(C).
    16. Incrocci, Luca & Thompson, Rodney B. & Fernandez-Fernandez, María Dolores & De Pascale, Stefania & Pardossi, Alberto & Stanghellini, Cecilia & Rouphael, Youssef & Gallardo, Marisa, 2020. "Irrigation management of European greenhouse vegetable crops," Agricultural Water Management, Elsevier, vol. 242(C).
    17. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    18. Koffi Djaman & Suat Irmak & Komlan Koudahe & Samuel Allen, 2021. "Irrigation Management in Potato ( Solanum tuberosum L.) Production: A Review," Sustainability, MDPI, vol. 13(3), pages 1-19, February.
    19. El-Naggar, A.G. & Hedley, C.B. & Horne, D. & Roudier, P. & Clothier, B.E., 2020. "Soil sensing technology improves application of irrigation water," Agricultural Water Management, Elsevier, vol. 228(C).
    20. Bispo, R.C. & Hernandez, F.B.T. & Gonçalves, I.Z. & Neale, C.M.U. & Teixeira, A.H.C., 2022. "Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach," Agricultural Water Management, Elsevier, vol. 271(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:242:y:2020:i:c:s0378377420302316. 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.