The application of wireless sensor networks to precision irrigation system based on the acoustic emission principle for crop water stress was explored to accurately provide the extent of water deficit and offer a scientific reference for the precision irrigation. Adaptive weighted data fusion algorithm was adopted to improve the precision of acoustic emission signal and cluster-based multi-hop routing algorithm was proposed to reduce energy consumption of node transmitting data. By a NB100 gateway, the system realized bridging between wireless network and wired network. It runs properly and possesses many advantages, such as good robustness, extensibility and scalability. Simulation experiments showed that networking was correct and the energy consumption of wireless transmission was above 60% in total energy. The system enables user to precisely acquire the crop water requirement information and thus to implement the precision irrigation remotely, and can be effectively applied to some water-saving agricultural fields, for example, the cropland, nursery garden and greenhouse.

algorithms, energy consumption, irrigation, irrigationrequirements, irrigation systems, plant water relations, precisionagriculture, remote sensors, sensors, technical progress, water deficit,water stress, water use efficiency, energy use, energy utilization,precision farming, site specific crop management, watering, Plant WaterRelations (FF062), Soil Water Management (Irrigation and Drainage)(JJ800) (Revised June 2002) [formerly Soil Water Management], Automationand Control (NN050), Agricultural and Forestry Equipment (General)(NN400), Mathematics and Statistics (ZZ100)

• Journal Article

• Irrigation Management
• Irrigation Systems