Application of in Situ Thermal Imaging to Estimate Crop Water Stress and Crop Water Requirements for Wheat in Koga Irrigation Scheme, Ethiopia

2022 ◽  
pp. 144-159
Author(s):  
Tewodrose D. Meselaw ◽  
Fasikaw A. Zimale ◽  
Seifu A. Tilahun ◽  
Petra Schmitter
Keyword(s):  
Water Stress ◽  
Thermal Imaging ◽  
Crop Water ◽  
Irrigation Scheme ◽  
Water Requirements ◽  
Crop Water Requirements ◽  
Crop Water Stress

scholarly journals Long-Term Water Balance of Selected Field Crops in Different Agricultural Regions of the Czech Republic Using Fao-56 and Soil Hydrological Approaches

2019 ◽  
Vol 11 (19) ◽  
pp. 5243 ◽  
Author(s):  
Renata Duffková ◽  
Jiří Holub ◽  
Petr Fučík ◽  
Jaroslav Rožnovský ◽  
Ivan Novotný
Keyword(s):  
Czech Republic ◽  
Water Stress ◽  
Water Balance ◽  
Oilseed Rape ◽  
Crop Water ◽  
Water Requirements ◽  
The Czech Republic ◽  
Crop Water Requirements ◽  
Crop Water Stress

Long-term water balance (WB) of four selected crops (winter wheat, oilseed rape, silage maize, semi-early potatoes) was determined at the field block scale in the Czech Republic for all agricultural growing areas (AGAs): maize-, beet-, potato- and mountain-AGAs for the 1981–2010 period. A novel approach for the calculation of WB was employed, which combined the FAO-56 method for crop water requirements (CWRs) with sources of available water from precipitation, soil, and groundwater. The computed WB was divided into four categories of soil water availability based on soil hydrolimits and crop features: Categories 1 and 2 with zero or mild occurrence of crop water stress; categories 3 and 4 with intermediate and severe occurrence of crop water stress. The winter crops were affected by water stress to a lesser extent (the area of categories 3 and 4: wheat 20.1%, oilseed rape 14.5%) as compared with spring crops (the area of categories 3 and 4: maize 39.6%, potatoes 41%). The highest water deficit was recorded for all crops in the maize-AGA due to low precipitation and high CWRs. Most available water was revealed to occur in the mountain-AGA. A strong need for the adoption of measures towards the optimization of water regimes on agricultural land was indicated. The present study shows a promising approach for evaluating and proposing changes of area of cultivated crops with the appropriate tillage and agricultural water management in terms of satisfactory crop water requirements.

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

A modelling platform for climate change impact on local and regional crop water requirements

2021 ◽  
Vol 255 ◽  
pp. 107005
Author(s):  
Sara Masia ◽  
Antonio Trabucco ◽  
Donatella Spano ◽  
Richard L. Snyder ◽  
Janez Sušnik ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Crop Water ◽  
Water Requirements ◽  
Crop Water Requirements ◽  
Change Impact

scholarly journals Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1117
Author(s):  
Anatoly Mikhailovich Zeyliger ◽  
Olga Sergeevna Ermolaeva
Keyword(s):  
Remote Sensing ◽  
Water Stress ◽  
Crop Yield ◽  
Satellite Monitoring ◽  
Agricultural Crop ◽  
Crop Water ◽  
Stress Regime ◽  
Irrigation Water Use ◽  
Crop Water Stress ◽  
Crop Irrigation

In the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely sensed and ground-based data were used to develop a method of crop water stress assessment and analysis. Input datasets of this method were based on the results of ground-based and satellite monitoring in 2012. Required datasets were collected for 19 irrigated alfalfa crops in the second year of growth at three study sites located in Saratovskoe Zavolzhie (Saratov Oblast, Russia). Collected datasets were applied to calculate the dynamics of daily crop water stress coefficients for all studied crops, thereby characterizing the efficiency of crop irrigation. Accordingly, data on the crop yield of three harvests were used. An analysis of the results revealed a linear relationship between the crop yield of three cuts and the average value of the water stress coefficient. Further application of this method may be directed toward analyzing the effectiveness of irrigation practices and the operational management of agricultural crop irrigation.

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