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GAIA2: A multifunctional wireless device for enhancing crop management

Author

Listed:
  • López, Juan A.
  • Navarro, H.
  • Soto, F.
  • Pavón, N.
  • Suardíaz, J.
  • Torres, R.

Abstract

Precision agriculture is a well-known approach that allows to estimate, evaluate and understand crop evolution. This paper describes how such approach is implemented by deploying a wireless sensor network, whose main components are based on the new multifunctional wireless sensor node GAIA2, a fully configurable device (from a hardware and software point of view), that can be properly configured with the aim of acting as any node required during the network deployment and that works with well-known agricultural instrumentation. Several validation tests carried out in real arid and semiarid horticultural crops located at Southern Spain (where the existing water deficit poses a major problem for farmers), demonstrates that it is easy and moderately inexpensive to deploy a GAIA2-based wireless sensor network that helps farmers to improve crop management.

Suggested Citation

  • López, Juan A. & Navarro, H. & Soto, F. & Pavón, N. & Suardíaz, J. & Torres, R., 2015. "GAIA2: A multifunctional wireless device for enhancing crop management," Agricultural Water Management, Elsevier, vol. 151(C), pages 75-86.
    • Handle: RePEc:eee:agiwat:v:151:y:2015:i:c:p:75-86
    DOI: 10.1016/j.agwat.2014.10.023
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    References listed on IDEAS

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    1. Hedley, C.B. & Yule, I.J., 2009. "A method for spatial prediction of daily soil water status for precise irrigation scheduling," Agricultural Water Management, Elsevier, vol. 96(12), pages 1737-1745, December.
    2. Puerto, P. & Domingo, R. & Torres, R. & Pérez-Pastor, A. & García-Riquelme, M., 2013. "Remote management of deficit irrigation in almond trees based on maximum daily trunk shrinkage. Water relations and yield," Agricultural Water Management, Elsevier, vol. 126(C), pages 33-45.
    3. Nolz, R. & Kammerer, G. & Cepuder, P., 2013. "Calibrating soil water potential sensors integrated into a wireless monitoring network," Agricultural Water Management, Elsevier, vol. 116(C), pages 12-20.
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    1. 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.

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