scholarly journals Assessing a crop water stress index derived from aerial thermal imaging and infrared thermometry in super-high density olive orchards

2017 ◽  
Vol 187 ◽  
pp. 210-221 ◽  
Author(s):  
Gregorio Egea ◽  
Carmen M. Padilla-Díaz ◽  
Jorge Martinez-Guanter ◽  
José E. Fernández ◽  
Manuel Pérez-Ruiz
Keyword(s):  
Water Stress ◽  
Thermal Imaging ◽  
High Density ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Infrared Thermometry ◽  
Water Stress Index ◽  
Crop Water Stress

scholarly journals Determination of Crop Water Stress Index by Infrared Thermometry in Grapefruit Trees Irrigated with Saline Reclaimed Water Combined with Deficit Irrigation

2019 ◽  
Vol 11 (7) ◽  
pp. 757 ◽  
Author(s):  
Cristina Romero-Trigueros ◽  
José María Bayona Gambín ◽  
Pedro Antonio Nortes Tortosa ◽  
Juan José Alarcón Cabañero ◽  
Emilio Nicolás Nicolás
Keyword(s):  
Water Stress ◽  
Water Status ◽  
Reclaimed Water ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Infrared Thermometry ◽  
Water Stress Index ◽  
Thermal Indicators ◽  
Crop Water Stress

Water is not always accessible for agriculture due to its scarcity. In order to successfully develop irrigation strategies that optimize water productivity characterization of the plant, the water status is necessary. We assessed the suitability of thermal indicators by infrared thermometry (IRT) to determine the water status of grapefruit in a commercial orchard with long term irrigation using saline reclaimed water (RW) and regulated deficit irrigation (RDI) in Southeastern Spain. The results showed that Tc-Ta differences were positive in a wide range of vapor pressure deficits (VPD), and the major Tc-Ta were found at 10.00 GMT, before and after the highest daily values of VPD and solar radiation, respectively, were reached. In addition, we evaluated the relationships between Tc-Ta and VPD to establish the Non-Water Stressed Baselines (NWSBs), which are necessary to accurately calculate the crop water stress index (CWSI). Two important findings were found, which include i) the best significant correlations (p < 0.005) found at 10.00 GMT and their slopes were positive, and ii) NWSBs showed a marked hourly and seasonal variation. The hourly shift was mainly explained by the variation in solar radiation since both the NWSB-slope and the NWSB-intercept were significantly correlated with a zenith solar angle (θZ) (p < 0.005). The intercept was greater when θZ was close to 0 (at midday) and the slope displayed a marked hysteresis throughout the day, increasing in the morning and decreasing in the afternoon. The NWSBs determination, according to the season improved most of their correlation coefficients. In addition, the relationship significance of Tc-Ta versus VPD was higher in the period where the intercept and Tc-Ta were low. CWSI was the thermal indicator that showed the highest level of agreement with the stem water potential of the different treatments even though Tc and Tc-Ta were also significantly correlated. We highlight the suitability of thermal indicators measured by IRT to determine the water status of grapefruits under saline (RW) and water stress (RDI) conditions.

An insight to the performance of crop water stress index for olive trees

2013 ◽  
Vol 118 ◽  
pp. 79-86 ◽  
Author(s):  
N. Agam ◽  
Y. Cohen ◽  
J.A.J. Berni ◽  
V. Alchanatis ◽  
D. Kool ◽  
...  
Keyword(s):  
Water Stress ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
Olive Trees ◽  
Crop Water Stress

Evaluation of Resistances for Bermudagrass Turf Crop Water Stress Index Models

1994 ◽  
Vol 86 (3) ◽  
pp. 574-581 ◽  
Author(s):  
H. R. Jalali‐Farahani ◽  
D. C. Slack ◽  
D. M. Kopec ◽  
A. D. Matthias ◽  
P. W. Brown
Keyword(s):  
Water Stress ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
Crop Water Stress

Quantifying Wheat Water Stress with the Crop Water Stress Index to Schedule Irrigations

1994 ◽  
Vol 86 (1) ◽  
pp. 195-199 ◽  
Author(s):  
Donald J. Garrot ◽  
Michael J. Ottman ◽  
D.D. Fangmeier ◽  
Stephen H. Husman
Keyword(s):  
Water Stress ◽  
Stress Index ◽  
Crop Water ◽  
Crop Water Stress Index ◽  
Water Stress Index ◽  
Crop Water Stress
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