Water stress monitoring in olive trees using thermal imaging

Document Type : Research Paper


1 MS Student, Department of Agricultural Machinery Engineering, College of Agriculture, Isfahan

2 Professor, Department of Agricultural Machinery Engineering, College of Agriculture, Isfahan University of Technology, Isfahan

3 Associated professor, Department of Electrical and Computer Engineering, Isfahan University of Technology.

4 Assistant professor, Department of Water Engineering, College of Agriculture, Isfahan University of technology.


In order to decrease water consumption in agricultural sector, deficit irrigation has been suggested. For preventing a heavy loss in crop yield, management of water stress is essential. Common methods for measuring plant water stress such as stomatal conductance are time-consuming and require specialized labor and a large number of measurement. Temperature of leaf or canopy surface can be an indicator of stomatal conductance or plant water stress. Canopy temperature is not only affected by stomatal conductance, but also with environmental conditions such as air temperature or vapor pressure deficit. Crop water stress index (CWSI) is recently proposed to solve these problems. By comparing the canopy temperature with two reference temperatures in crop water stress index, the effect of environmental conditions can be minimized. Thermography is a non-contact approach toward surface temperature measurement without interfering with plant activities. The general goal of this study was to obtain CWSI using thermal images and to evaluate the potential of this method for predicting the stomatal conductance. In order to achieve this goal, thermal images from olive trees under five deficit irrigation treatments with three replications were obtained. The results showed a significant (R2ADJ = 0.83) relationship between CWSI and the stomatal conductance


Main Subjects

Agam, N., Cohen, Y., Berni, J.A.J., Alchanatis, V., Cool, D., Dag, A., Yermiyahu, U. & Ben-Gal, A. (2013). An insight to the performance of crop water stress index for olive trees. Agricultural Water Management, 118, 79-86.
Blonquist, J. M., Norman, J. M. & Bugbee, B. (2009). Automated measurement of canopy stomatal conductance based on infrared temperature. Agricultural and forest Meteorology, 149, 2183–2197.
Caruso, G., Rapoport, H. F. & Gucci, R. (2013). Long-term evaluation of yield components of young olive trees during the onset of fruit production under different irrigation regimes. Irrigation science, 31, 37-47.
Colaizzi, P. D., Evett, S. R., Howell, T. A. & Tolk, J. A. (2004). Comparison of aerodynamic and radiometric surface temperature using precision weighing lysimeters. Remote Sensing and modelling of ecosystems for Sustainability, 55 (44), 215–229.
Costa, J. M., Ortuno, M. F. & Chaves, M. M. (2007). Deficit Irrigation as a Strategy to Save Water: Physiology and Potential Application to Horticulture. Journal of Integrative Plant Biology, 49 (10), 1421–1434.
Hamdi, A., Ragheb, R. & Scarascia-Mungonza, E. (2003). Coping with water scarcity: water saving and increasing water productivity. Irrigation and Drainage, 52, 3-20.
Irmak, S., Haman, D. Z., & Bastug, R. (2000). Determination of crop water stress index for irrigation timing and yield estimation of corn. Agronomy Journal, 92, 1221–1227.
Jackson, R. D., Idso, S. B., Reginato, R. J. & P. J. Pinter. (1981). Canopy temperature as a crop water-stress indicator. Water Resource Research, 17, 1133–1138.
Jones HG. (2004). Irrigation scheduling: advantages and pitfalls of plant-based methods. Journal of Experimental Botany, 55, 2427–2436.
Jones, H. G., Archer, N., Rotenberg, E. & Casa, R. (2003). Radiation measurement for plant eco-physiology. Journal of Experimental Botany, 54, 879–889.
Jones, H. G., Serraj, Loveys, R. B. R., Xiong, L. Z., Wheaton, A. & Price, A. H. (2009). Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field. Functional Plant Biology, 36, 978–989.
Maes, W. H., Achten, W. M. J., Reubens, B. & Muys, B. (2011). Monitoring stomatal conductance of Jatropha curcas seedlings under different levels of water shortage with infrared thermography. Agricultural and Forest Meteorology, 15, 554–564.
Maes, W. H. & Steppe K. (2012). Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: a review. Journal of Experimental Botany, 63, 4671–4712.
Matsushima, D. (2005). Relations between aerodynamic parameters of heat transfer and thermal-infrared thermometry in the bulk surface formulation. Journal of meteorological society of japan, 83, 373–389.
Meron, M., Sprinstin, M., Tsipris, J., Alchanatis, V. & Cohen, Y. (2013). Foliage temperature extraction from thermal imagery for crop water stress determination. Precision Agriculture, 14, 467–477.
Meron M., Tsipris, J., Orlov, V., Alchanatis, V. & Cohen, Y. (2010). Crop water stress mapping for site-specific irrigation by thermal imagery and artificial reference surfaces. Precision Agriculture, 11, 148–162.
Möller, M., Alchanatis, V., Cohen, Y., Meron, M., Tsipris, J., Naor, A., Ostrovsky, V., Sprintsin, M. & Cohen, S. (2007). Use of thermal and visible imagery for estimating crop water status of irrigated grapevine. Journal of Experimental Botany, 58, 827–838.
Moran, M. S., Clarke, T. R., Inoue, Y. & Vidal, A. (1994). Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment, 49, 246–263.
Pou, A., Diago, M.P., Medrano, H., Baluja, J. & Tardaguila, J. (2014). Validation of thermal indices for water status identification in grapevine. Agricultural Water Management, 134, 60-72.
Volume 46, Issue 4 - Serial Number 4
January 2016
Pages 339-345
  • Receive Date: 11 April 2015
  • Revise Date: 03 May 2016
  • Accept Date: 21 April 2015
  • First Publish Date: 22 December 2015