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A Continuous Leaf Monitoring System for Precision Irrigation Management in Orchard Crops

Year 2014, Volume: 10 Issue: 4, 267 - 272, 01.08.2014

Abstract

Studies have shown that measurement of plant water status (PWS) provides the key

information necessary to implement efficient irrigation management scheme in orchard and

vineyard crops. A pressure chamber is often used to measure PWS. However, this technique is

labor intensive, tedious and time-consuming. To address these issues, we developed a sensor suite

consisting of a thermal infrared (IR) sensor and relevant environmental parameters (ambient

temperature, photosynthetically active radiation (PAR), wind speed and relative humidity) and

tested it extensively in almond, walnut, and grape crops. The system was found to work well in all

three crops. However, this sensor suite was quite bulky and we noticed temporal drifts in the

calibration curve as the season progressed. To address these issues, we developed a continuous

leaf monitoring system that included same sensors as the sensor suite. We have deployed 22 such

leaf monitors in almond and walnut orchards in Nickels Soil Laboratory, Arbuckle, CA, USA and

interfaced them to a wireless mesh network so that data could be uploaded to the internet through

a gateway computer and accessed through the web. The system also included a controller capable

of actuating latching solenoid valves to manage precision irrigation in the orchard. Field data

collected from these experiments were used to calculate daily crop water stress index (CWSI). The

results showed that this system has the potential to be used as irrigation management tool as it

was able to provide daily CWSI values which followed similar pattern as the actual PWS values.

References

  • Boyer, J.S. 1967. Leaf water potentials measured with a pressure chamber. Plant Physiol. 42(1):133-137 Coates, R. W., M. Delwiche, A. Broad, M. Holler, R. Evans, L. Oki, and L. Dodge. 2012. Wireless sensor network for precision irrigation control in horticultural crops. An ASABE meeting presentation, Paper No: 121337892, St. Joseph, MI. 49085.
  • Dhillon R., V. Udompetaikul, F. Rojo, J. Roach, S. Upadhyaya, D. Slaughter, B. Lampinen, and K. Shackel. 2013. Detection of plant water stress using leaf temperature and microclimatic measurements in almond, walnut and grape crops. Trans. ASABE 57(1).
  • Idso, S., R. Jackson, P. Pinter, R. Reginato, and J. Hatfield. 1981. Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology. 24:45-55.
  • Jones, H. G. 2004. Irrigation scheduling: advantages and pitfalls of plant-based methods. J. Exp. Bot. 55(407):2427-2436.
  • Lampinen, B., K. Shackel, S. Southwick, and W. Olson. 2001. Deficit irrigation strategies using midday stem water potential in prune. Irrig. Sci. 20(2):47-54.
  • Nielsen, D. 1994. Non water-stressed baselines for sunflowers. Agricultural Water Management. 26(4) 265-276.
  • Testi, L., Goldhamer, D., Iniesta, F., and M. Salinas 2008. Crop water stress index is a sensitive indicator in pistachio trees. Irrig. Sci. 26(5):395-405.
  • Torman, H. 1986. Canopy temperature as a plant water stress indicator for nectarines. S. Afr. J. Plant Soil. 3(3): 110-114.
  • Udompetaikul, V. (2012). Development of a sensor suite for plant water status determination for irrigation management in specialty crops. PhD diss. Davis, Cal.: University of California, Department of Biological Systems Engineering.
  • USGS, 2005. Total Water Use in the United States. 2005.
  • United States Geological Survey. Restron, Virginia. Yazar, A., T. Howell, D. Dusek, and K. Copeland. 1999.
  • Evaluation of crop water stress index for LEPA irrigated corn. Irrig. Sci. 18: 171-180.
Year 2014, Volume: 10 Issue: 4, 267 - 272, 01.08.2014

Abstract

References

  • Boyer, J.S. 1967. Leaf water potentials measured with a pressure chamber. Plant Physiol. 42(1):133-137 Coates, R. W., M. Delwiche, A. Broad, M. Holler, R. Evans, L. Oki, and L. Dodge. 2012. Wireless sensor network for precision irrigation control in horticultural crops. An ASABE meeting presentation, Paper No: 121337892, St. Joseph, MI. 49085.
  • Dhillon R., V. Udompetaikul, F. Rojo, J. Roach, S. Upadhyaya, D. Slaughter, B. Lampinen, and K. Shackel. 2013. Detection of plant water stress using leaf temperature and microclimatic measurements in almond, walnut and grape crops. Trans. ASABE 57(1).
  • Idso, S., R. Jackson, P. Pinter, R. Reginato, and J. Hatfield. 1981. Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology. 24:45-55.
  • Jones, H. G. 2004. Irrigation scheduling: advantages and pitfalls of plant-based methods. J. Exp. Bot. 55(407):2427-2436.
  • Lampinen, B., K. Shackel, S. Southwick, and W. Olson. 2001. Deficit irrigation strategies using midday stem water potential in prune. Irrig. Sci. 20(2):47-54.
  • Nielsen, D. 1994. Non water-stressed baselines for sunflowers. Agricultural Water Management. 26(4) 265-276.
  • Testi, L., Goldhamer, D., Iniesta, F., and M. Salinas 2008. Crop water stress index is a sensitive indicator in pistachio trees. Irrig. Sci. 26(5):395-405.
  • Torman, H. 1986. Canopy temperature as a plant water stress indicator for nectarines. S. Afr. J. Plant Soil. 3(3): 110-114.
  • Udompetaikul, V. (2012). Development of a sensor suite for plant water status determination for irrigation management in specialty crops. PhD diss. Davis, Cal.: University of California, Department of Biological Systems Engineering.
  • USGS, 2005. Total Water Use in the United States. 2005.
  • United States Geological Survey. Restron, Virginia. Yazar, A., T. Howell, D. Dusek, and K. Copeland. 1999.
  • Evaluation of crop water stress index for LEPA irrigated corn. Irrig. Sci. 18: 171-180.
There are 12 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Rajveer Dhıllon This is me

Francisco Rojo This is me

Jed Roach This is me

Shrini Upadhyaya This is me

Mike Delwıche This is me

Publication Date August 1, 2014
Published in Issue Year 2014 Volume: 10 Issue: 4

Cite

APA Dhıllon, R., Rojo, F., Roach, J., Upadhyaya, S., et al. (2014). A Continuous Leaf Monitoring System for Precision Irrigation Management in Orchard Crops. Tarım Makinaları Bilimi Dergisi, 10(4), 267-272.

Journal of Agricultural Machinery Science is a refereed scientific journal published by the Agricultural Machinery Association as 3 issues a year.