Determination of Crop Water Stress Index and Irrigation Timing on Olive Trees Using a Handheld Infrared Thermometer

Akkuzu, Erhan; Kaya, Ünal; Çamoğlu, Gökhan; Mengü, Gülay Pamuk; Âşik, Şerafettin

doi:10.1061/(asce)ir.1943-4774.0000623

Cited by 29 publications

(9 citation statements)

References 36 publications

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“…All field measurements were carried out once a week during the previous day of irrigation and performed only on clear days, avoiding days that presented partial and cloudy weather conditions, following recommendations from previous studies [20,36,37]. These measurements were performed between 1100-1500 h (around solar noon) to ensure that the trees were under the maximum atmospheric water demand [12,15].…”

Section: Experimental Trial and Field Measurementsmentioning

confidence: 99%

Performance Assessment of Thermal Infrared Cameras of Different Resolutions to Estimate Tree Water Status from Two Cherry Cultivars: An Alternative to Midday Stem Water Potential and Stomatal Conductance

Carrasco-Benavides

Antunez-Quilobrán

Baffico-Hernández

et al. 2020

Sensors

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The midday stem water potential (Ψs) and stomatal conductance (gs) have been traditionally used to monitor the water status of cherry trees (Prunus avium L.). Due to the complexity of direct measurement, the use of infrared thermography has been proposed as an alternative. This study compares Ψs and gs against crop water stress indexes (CWSI) calculated from thermal infrared (TIR) data from high-resolution (HR) and low-resolution (LR) cameras for two cherry tree cultivars: ‘Regina’ and ‘Sweetheart’. For this purpose, a water stress–recovery cycle experiment was carried out at the post-harvest period in a commercial drip-irrigated cherry tree orchard under three irrigation treatments based on Ψs levels. The water status of trees was measured weekly using Ψs, gs, and compared to CWSIs, computed from both thermal cameras. Results showed that the accuracy in the estimation of CWSIs was not statistically significant when comparing both cameras for the representation of Ψs and gs in both cultivars. The performance of all evaluated physiological indicators presented similar trends for both cultivars, and the averaged differences between CWSI’s from both cameras were 11 ± 0.27%. However, these CWSI’s were not able to detect differences among irrigation treatments as compared to Ψs and gs.

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Section: Experimental Trial and Field Measurementsmentioning

confidence: 99%

Performance Assessment of Thermal Infrared Cameras of Different Resolutions to Estimate Tree Water Status from Two Cherry Cultivars: An Alternative to Midday Stem Water Potential and Stomatal Conductance

Carrasco-Benavides

Antunez-Quilobrán

Baffico-Hernández

et al. 2020

Sensors

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“…Numerous studies have employed infrared thermometry to assess the potential of CWSI measurements in different tree crops such as citrus (Stagno et al, 2011; Gonzalez‐Dugo et al, 2014), peaches (Glenn et al, 1989; Paltineanu et al, 2009; Wang & Gartung, 2010; Bellvert et al, 2016), olives (Ben‐Gal et al, 2009; Berni et al, 2009; Akkuzu et al, 2013; Bellvert et al, 2016), pistachios (Testi et al, 2008), grape (Moller et al, 2006; Stoll & Jones, 2007; Bellvert et al, 2014), and apples (Osroosh et al, 2014, 2015a, 2015b, 2016b, 2016a).…”

Section: Introductionmentioning

confidence: 99%

Monitoring water status in apple trees using a sensitive morning crop water stress index*

Mohamed

Osroosh²,

Peters

et al. 2020

Irrigation and Drainage

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The crop water stress index (CWSI) has shown to be a good indicator of water status in fruit trees. Conventional CWSI measured over solar noon is widely used to monitor plant water status. This study compared the theoretical CWSI averaged over morning hours, CWSImo, and over solar noon hours, CWSImd, of apple trees. This study also assessed their sensitivity to the changes in soil water status (soil water deficit [SWD, %] and soil water potential [SWP, kPa]) at different root zone depths. Four different types of commercial and experimental apple orchards with different characteristics growing under semi‐arid conditions in Washington State, United States, were chosen to assess CWSImo against CWSImd sensitivity to soil water status. In some of these locations, soil water status ranged from fully watered to severely stressed (low water deficit to high water deficit). Ground‐based thermal and microclimate measurements were recorded continuously at 10‐s intervals and acquired for the 15‐min average on a daily basis throughout the study period. The linear relationship between SWD and CWSImo at the effective root zone depth (average of 0–150 mm and 0–460 mm) resulted in a slightly higher correlation (R2 = 0.42–0.64, p < .001) compared to the traditional CWSImd (R2 = 0.32–0.60, p < 0.001). The correlation between CWSImo and SWP (R2 = 0.38–0.69, p < 0.001) was found to be larger than the correlation between CWSImo and SWD, while SWP was less correlated with CWSImd (R2 = 0.33–0.55, p < 0.001). Interestingly, a better relationship between soil water status and both CWSImo and CWSImd was observed using a nadir view orientation thermal measurement. The CWSImo showed higher sensitivity to SWP than SWD.

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“…Infrared thermometers are used for remote sensing of leaf or canopy temperature without destroying the plant surface (Jackson and Idso 1969 ). Many studies have been done so far on the use of infrared thermometers to measure plant canopy temperature (Akkuzu et al 2013 ; Candogan et al 2013 ; Bellvert et al 2014 ; Veysi et al 2018 ; Kirnak et al 2019 ). CWSI is commonly determined by an empirical approach proposed by Idso et al ( 1981 ).…”

Section: Introductionmentioning

confidence: 99%

Chlorophyll Response to Water Stress and the Potential of Using Crop Water Stress Index in Sugar Beet Farming

Yetik

Candogan

2022

Sugar Tech

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Field experiments were conducted in 2019 and 2021 growing seasons to evaluate the chlorophyll readings and crop water stress index (CWSI) response to full and deficit irrigation for drip-irrigated sugar beet ( Beta vulgaris L.) under sub-humid climate of Bursa, Turkey. In addition, the changes of soil water content under different irrigation treatments and statistical relationships between chlorophyll and CWSI values and ET c , root yield and sugar yield were investigated. Experiments were carried out in a completely randomized blocks design with three replications. Irrigations were scheduled based on the replenishment of 100 (S1), 66 (S2), 33 (S3), and 0% (S4) of soil water depletion within the soil profile of 0–90 cm using 7 day irrigation intervals. Lower and upper baselines obtained by measurements based on the canopy temperature from the treatments full irrigated and non-irrigated were used to calculate CWSI. The variations in CWSI values were consistent with the variations of seasonal soil water contents induced by the different irrigation practices. CWSI values generally varied between 0 and 1 throughout the experimental periods. In 2019, seasonal mean chlorophyll readings varied between 203.3 and 249.1, and mean CWSI values varied between 0.12 and 0.85. In 2021, seasonal mean chlorophyll readings varied between 232.7 and 259.3 and mean CWSI values between 0.19 and 0.89. Unlike chlorophyll values, CWSI decreased with increased irrigation water amount. In both years, statistically significant relationships were determined between chlorophyll readings and CWSI and ET c , root yield and sugar yield. The greatest root yield was achieved with a seasonal mean CWSI value of 0.12. An exponential equation determined as “Root Yield = 10.804e −1,55CWSI ” between seasonal average CWSI values and root yield can be used for estimation of root yield in sugar beet farming. The mean CWSI values determined by infrared thermometer technique can be used in determination of crop water stress and irrigation scheduling of sugar beet cultivation under sub-humid climatic conditions.

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Determination of Crop Water Stress Index and Irrigation Timing on Olive Trees Using a Handheld Infrared Thermometer

Cited by 29 publications

References 36 publications

Performance Assessment of Thermal Infrared Cameras of Different Resolutions to Estimate Tree Water Status from Two Cherry Cultivars: An Alternative to Midday Stem Water Potential and Stomatal Conductance

Performance Assessment of Thermal Infrared Cameras of Different Resolutions to Estimate Tree Water Status from Two Cherry Cultivars: An Alternative to Midday Stem Water Potential and Stomatal Conductance

Monitoring water status in apple trees using a sensitive morning crop water stress index*

Chlorophyll Response to Water Stress and the Potential of Using Crop Water Stress Index in Sugar Beet Farming

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