Morning crop water stress index as a sensitive indicator of water status in apple trees

Mohamed, Abdelmoneim Zakaria; Osroosh, Yasin; Peters, Troy Robert; Bates, Travis; Campbell, Colin S.; Ferrer-Alegre, F.

doi:10.13031/aim.201900577

Cited by 2 publications

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“…In addition, the ATMOS41 is part of the Montana Mesonet monitoring stations in the Upper Missouri River Basin, where collected data are used for drought detection and natural resource management, amongst others [ 29 ]. Further applications include the investigation of crop water stress in apple orchards at Washington State University [ 30 ] and the estimation of the plant growth status of paddy rice in Japan [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

“…Considering the wide use of the ATMOS41 weather station for small- and large-scale weather monitoring in sub-Saharan Africa [ 24 , 25 , 26 ] as well as industrialized countries [ 27 , 28 , 29 , 30 , 31 ], independent testing under “out of the lab” conditions can provide further insight and eventually identify possible limitations of the ATMOS41 station. In this way, a thorough performance assessment can inform private costumers and research organizations regarding the potential fields of application and provide impulses for further hardware or software developments.…”

Section: Introductionmentioning

confidence: 99%

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Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring

Dombrowski

Franssen

Brogi

et al. 2021

Sensors

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Affordable and accurate weather monitoring systems are essential in low-income and developing countries and, more recently, are needed in small-scale research such as precision agriculture and urban climate studies. A variety of low-cost solutions are available on the market, but the use of non-standard technologies raises concerns for data quality. Research-grade all-in-one weather stations could present a reliable, cost effective solution while being robust and easy to use. This study evaluates the performance of the commercially available ATMOS41 all-in-one weather station. Three stations were deployed next to a high-performance reference station over a three-month period. The ATMOS41 stations showed good performance compared to the reference, and close agreement among the three stations for most standard weather variables. However, measured atmospheric pressure showed uncertainties >0.6 hPa and solar radiation was underestimated by 3%, which could be corrected with a locally obtained linear regression function. Furthermore, precipitation measurements showed considerable variability, with observed differences of ±7.5% compared to the reference gauge, which suggests relatively high susceptibility to wind-induced errors. Overall, the station is well suited for private user applications such as farming, while the use in research should consider the limitations of the station, especially regarding precise precipitation measurements.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring

Dombrowski

Franssen

Brogi

et al. 2021

Sensors

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show abstract

“…However, it has been shown that CWSI averaged over daylight hours, from 7:00 a.m. to 7:00 p.m. (Osroosh et al, 2016b) is more reliable to detect water stress in fruit trees because it eliminates the effects of short microclimatological effects and intervals and yields a more stable index for irrigation scheduling. If CWSI is measured earlier in the day, this would keep trees at a well‐watered status by applying an irrigation event if needed (Mohamed et al, 2019).…”

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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Morning crop water stress index as a sensitive indicator of water status in apple trees

Cited by 2 publications

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Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring

Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring

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

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