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- W3016693923 endingPage "107835" @default.
- W3016693923 startingPage "107835" @default.
- W3016693923 abstract "The primary goal of drip irrigation is to provide sufficient quantity of water and fertilizer to improve crop yield. An Efficient Scalable Data Collection Scheme (ESDCS) using Wireless Sensor Networks (WSNs) is designed to collect the sensor data from the agricultural field for predicting the amount of water required by the crop. In ESDCS, the waiting time based Cluster Head (CH) selection is proposed depending on the residual energy. Also, the utilization of Unmanned Aerial Vehicle (UAV) effectively collects the field sensor data over a wide area. The performance of the proposed ESDCS is tested in the sugarcane field for the automation of water irrigation and fertigation. The duration and amount of irrigation is calculated based on the crop evapotranspiration using crop co-efficient kc and daily weather condition. It is observed that the proposed system utilizes only 25.08% of the water as compared with the existing irrigation system." @default.
- W3016693923 created "2020-04-24" @default.
- W3016693923 creator A5046025973 @default.
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- W3016693923 date "2020-09-01" @default.
- W3016693923 modified "2023-10-16" @default.
- W3016693923 title "Energy efficient cluster and travelling salesman problem based data collection using WSNs for Intelligent water irrigation and fertigation" @default.
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- W3016693923 doi "https://doi.org/10.1016/j.measurement.2020.107835" @default.
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