A Reliable Soil Moisture Sensing Methodology for Agricultural Irrigation
Additional Document Info
2017 IEEE. Agricultural irrigation accounts for two-Thirds of global fresh water use and plays a pivotal role in addressing the challenge of water shortage. Soil moisture sensors can improve the water use efficiency of irrigation and this work is a study on sensor deployment and fault detection in the context of agricultural irrigation. Previous works are mostly oriented toward general applications and focused on optimizing complicated sensor networks. In agricultural irrigation, the sensor network is relatively simple, while the expectation to system reliability is quite high. In this work, a reliability-driven soil moisture sensing methodology is developed and discussed. It includes a genetic algorithm based optimization technique and a fault detection technique. Simulations are performed to compare the proposed methodology with previous works. The results indicate that the proposed methodology considerably improves system reliability in term of mean time to failure.
name of conference
2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)