Title :
Research on the Model for Crop Water Requirements in Wireless Sensor Networks
Author_Institution :
Sch. of Inf. & Safety Eng., Zhongnan Univ. of Econ. & Law, Wuhan, China
Abstract :
In order to accurately provide the extent of water requirement and thus to offer a scientific reference for the precision irrigation, we explored the application of wireless sensor networks to precision irrigation system. Data aggregation algorithm was adopted to improve the precision of the emission signal. Cluster-based and tree-based multi-hop routing algorithm was proposed to reduce energy consumption of node transmitting data. The analysis of the model based on machine learning enables user to precisely acquire the crop water requirement information and thus to implement the precision irrigation and then to lead to the improvement of the crop production.
Keywords :
crops; irrigation; telecommunication network routing; water supply; wireless sensor networks; cluster-based multi-hop routing algorithm; crop production; crop water requirements; emission signal; precision irrigation system; scientific reference; tree-based multi-hop routing algorithm; wireless sensor networks; Irrigation; Machine learning; Soil measurements; Soil moisture; Wireless communication; Wireless sensor networks; machine learning; water requirement model; wireless sensor network;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2943-9
DOI :
10.1109/ICMeCG.2012.77