A real-time wireless smart sensor array for scheduling irrigation

  • Authors:

  • G. Vellidis;M. Tucker;C. Perry;C. Kvien;C. Bednarz

  • Affiliations:

  • National Environmentally Sound Production Agriculture Laboratory (NESPAL), University of Georgia, Tifton, GA, USA;National Environmentally Sound Production Agriculture Laboratory (NESPAL), University of Georgia, Tifton, GA, USA;National Environmentally Sound Production Agriculture Laboratory (NESPAL), University of Georgia, Tifton, GA, USA;National Environmentally Sound Production Agriculture Laboratory (NESPAL), University of Georgia, Tifton, GA, USA;National Environmentally Sound Production Agriculture Laboratory (NESPAL), University of Georgia, Tifton, GA, USA

  • Venue:
  • Computers and Electronics in Agriculture
  • Year:
  • 2008

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Abstract

A prototype real-time, smart sensor array for measuring soil moisture and soil temperature that uses off-the-shelf components was developed and evaluated for scheduling irrigation in cotton. The array consists of a centrally located receiver connected to a laptop computer and multiple sensor nodes installed in the field. The sensor nodes consist of sensors (up to three Watermark^(R) soil moisture sensors and up to four thermocouples), a specially designed circuit board, and a Radio Frequency IDentification (RFID) tag which transmits data to the receiver. The smart sensor array described here offers real potential for reliably monitoring spatially variable soil water status in crop fields. The relatively low cost of the system (~USD 2400 for a 20-sensor node system) allows for installation of a dense population of soil moisture sensors that can adequately represent the inherent soil variability present in fields. This paper describes the smart sensor array and testing in a cotton crop. Integration of the sensors with precision irrigation technologies will provide a closed loop irrigation system where inputs from the smart sensor array will determine timing and amounts for real-time site-specific irrigation applications.