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Multiplatform application for precision irrigation scheduling in strawberries

Author

Listed:
  • González Perea, R.
  • Fernández García, I.
  • Martin Arroyo, M.
  • Rodríguez Díaz, J.A.
  • Camacho Poyato, E.
  • Montesinos, P.

Abstract

The Doñana area in Southwestern Spain has the largest concentration of strawberry producers in Europe with an annual production 300,000 tons. Due to the high water demand of strawberries, the proximity of the Doñana national park and the increasing environmental concerns of destination countries make that the water efficiency improvement was essential for sustainability of the strawberry sector. However, strawberries are cropped in sandy soils which make the irrigation management difficult. In this work a multiplatform application consisting of a PC and a mobile module developed for Android devices (APP) has been developed. It is a useful tool that facilitates the irrigation scheduling in the strawberry sector. The software takes into account agro-climatic, soil data and information related to the hydraulic system and offers farmers daily/weekly information about the required irrigation times. The application has been used in several commercial farms, achieving water savings which range from 11% to 33%, and highlighting that efficient water use is in fact possible in the strawberry production.

Suggested Citation

  • González Perea, R. & Fernández García, I. & Martin Arroyo, M. & Rodríguez Díaz, J.A. & Camacho Poyato, E. & Montesinos, P., 2017. "Multiplatform application for precision irrigation scheduling in strawberries," Agricultural Water Management, Elsevier, vol. 183(C), pages 194-201.
    • Handle: RePEc:eee:agiwat:v:183:y:2017:i:c:p:194-201
    DOI: 10.1016/j.agwat.2016.07.017
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    References listed on IDEAS

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    1. Sesma, J. & Molina-Martínez, J.M. & Cavas-Martínez, F. & Fernández-Pacheco, D.G., 2015. "A mobile application to calculate optimum drip irrigation laterals," Agricultural Water Management, Elsevier, vol. 151(C), pages 13-18.
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    Cited by:

    1. Forouhar, Leila & Wu, Wenyan & Wang, Q.J. & Hakala, Kirsti, 2022. "A hybrid framework for short-term irrigation demand forecasting," Agricultural Water Management, Elsevier, vol. 273(C).
    2. Flores Cayuela, Carmen M. & González Perea, Rafael & Camacho Poyato, Emilio & Montesinos, Pilar, 2022. "An ICT-based decision support system for precision irrigation management in outdoor orange and greenhouse tomato crops," Agricultural Water Management, Elsevier, vol. 269(C).
    3. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).

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