Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review

2022 ◽  
Vol 260 ◽  
pp. 107324
Author(s):  
Erion Bwambale ◽  
Felix K. Abagale ◽  
Geophrey K. Anornu
2019 ◽  
Vol 176 ◽  
pp. 102646 ◽  
Author(s):  
A. Bonfante ◽  
E. Monaco ◽  
P. Manna ◽  
R. De Mascellis ◽  
A. Basile ◽  
...  

2014 ◽  
Vol 1051 ◽  
pp. 482-488
Author(s):  
Ren Fu Jia ◽  
Jun Wei ◽  
Hai Jin

In order to analyze the water use efficiency of Jiangsu by the method of quantitive research, this article takes the water use amount per ten thousand Yuan GDP as object of study, and discusses the influencing factors of water use efficiency to give the suggestion of policy , regular and control. Theory analysis and expects consulting have been used to get 21 potential influencing factors. Then we get the regression equation which contains water use amount per ten thousand Yuan GDP as the dependent variable, and 21 mentioned factors as independent variables through introducing collected factors’ dates in the period of 1997~2010 into the stepwise regression which is on the basis of principal component analysis. As a result, the major four factors have been got: irrigation area per capita, Industry polluted water standard drainage, education cost, proportion the output value of tertiary industry accounting for of GDP. And this research works for the water use efficiency red line investigation in the future.


2020 ◽  
Author(s):  
Zonghan Ma ◽  
Bingfang Wu ◽  
Nana Yan ◽  
Weiwei Zhu

<p>Water use efficiency (WUE) is defined as the ratio between gross primary production (GPP) and evapotranspiration (ET) at ecosystem scale, which can help understand the mechanism between water consumption and crop production in guiding field water management. Water consumption control is important in precision agriculture development. Mapping WUE at field scale using remote sensing data could provide crop water use status at high resolution and acquire the WUE spatial distribution. In this study we proposed a method to estimate field-scale maize WUE with Sentienl-2 data. The GPP of maize is estimated by a light use efficiency model with RS observed albedo, sunshine radiation, fraction of photosynthetically active radiation (fpar) fitted using in site observation. Maize ET is modelled using FAO-PM model with crop coefficient simulated using vegetation indexes acquired from Sentinel-2 bands. We compared the GPP, ET and final WUE estimation with eddy covariance (EC) observations in a maize field of North China Plain where water scarcity is a main limit factor of crop development. Comparation results show a high correlation between in site observation and modelled results. Combining the phenology development of maize, the temporal characteristics of maize WUE change is associated with phenology. WUE was low after sowing, then increased during Elongation stage. Maize WUE peaked at Heading and Grouting period and decreased in Maturation stage. Our WUE estimation method with high resolution could guide adopting various irrigation strategies based on different WUE conditions at field scale. This research could help shed light on the future WUE development under climate change background and improve our knowledge of precise water management.</p>


2018 ◽  
Vol 76 (2) ◽  
pp. 115-130 ◽  
Author(s):  
G Guo ◽  
K Fang ◽  
J Li ◽  
HW Linderholm ◽  
D Li ◽  
...  

2016 ◽  
Vol 6 (1) ◽  
pp. 822-832
Author(s):  
Halim Mahmud Bhuyan ◽  
Most. Razina Ferdousi ◽  
Mohammad Toufiq Iqbal ◽  
Ahmed Khairul Hasan

Utilization of urea super granule (USG) with raised bed cultivation system for transplanted boro (winter, irrigated) rice production is a major concern now days. A field experiment was conducted in the chuadanga district of Bangladesh to compare the two cultivation methods: deep placement of USG on raised bed with boro rice, and prilled urea (PU) broadcasting in conventional planting. Results showed that USG in raised bed planting increased grain yields of transplanted boro rice by up to 18.18% over PU in conventional planting. Deep placement of USG in raised bed planting increased the number of panicle m-2, number of grains panicle-1 and 1000-grains weight of boro rice than the PU in conventional planting. Better plant growth was observed by deep placement of USG in raised bed planting compared to PU in conventional planting. Sterility percentage and weed infestation were lower on USG in raised bed planting compared to the PU in conventional planting methods. Forty seven percent irrigation water and application time could be saved by USG in raised bed planting than PU in conventional planting. Deep placement of USG in bed saved N fertilizer consumption over conventional planting. Water use efficiency for grain and biomass production was higher with deep placement of USG in bed planting than the PU broadcasting in conventional planting methods. Similarly, agronomic efficiency of N fertilizer by USG in bed planting was significantly higher than the PU broadcasting in conventional planting. This study concluded that deep placement of USG in raised bed planting for transplanted boro rice is a new approach to achieve fertilizer and water use efficiency as well as higher yield and less water input compared to existing agronomic practices in Bangladesh.


2009 ◽  
Vol 35 (2) ◽  
pp. 324-333 ◽  
Author(s):  
Peng-Fei CHU ◽  
Zhen-Wen YU ◽  
Xiao-Yan WANG ◽  
Tong-Hua WU ◽  
Xi-Zhi WANG

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