Machine Learning
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
From wireless sensors to field mapping: Anatomy of an application for precision agriculture
Computers and Electronics in Agriculture
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Application note: Improvement of a dual-sensor horizontal penetrometer by incorporating an EC sensor
Computers and Electronics in Agriculture
Energy conservation in wireless sensor networks: A survey
Ad Hoc Networks
Computers and Electronics in Agriculture
Characterizing soil spatial variability with apparent soil electrical conductivity
Computers and Electronics in Agriculture
Apparent soil electrical conductivity mapping as an agricultural management tool in arid zone soils
Computers and Electronics in Agriculture
Review: Wireless sensors in agriculture and food industry-Recent development and future perspective
Computers and Electronics in Agriculture
Pruning error minimization in least squares support vector machines
IEEE Transactions on Neural Networks
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In agricultural production, there is contradiction between the cost and accuracy of detection during the course of acquiring soil water content (@q) online. This conflict is one of the core issues of automatic water-saving irrigation technology in agriculture. At the same time, capacitive soil moisture sensor (CSMS) has received considerable attention, for it can acquire @q with low cost and high precision, and meet the application requirements of wireless sensor network (WSN). But CSMS is vulnerable to the soil temperature (T"s) and salinity (S"s) in the measurement process. Therefore, this study took EC-5 sensor for example to establish water detection calibration models of soil temperature and salinity for single sensor, using Least Squares Support Vector Machines on MatLAB (LS-SVMlab) as the tool. On this basis, we explored the spatial variability of T"s and S"s, and then a method, which could be used to calibrate the output signals of sensors in multi-point network, was proposed based on the information-sharing (T"s or S"s) technology of WSN. Through laboratory experiment, we effectively reduced the impact of soil temperature and salinity on the single sensor. In example analysis, we investigated the detection precision and costs under different information-sharing radiuses (r). And the results indicated that the method we proposed based on the information-sharing technology of WSN could successfully calibrate the influence of soil temperature and salinity on sensors in multi-point network, and it was an efficacious approach to determine the balance between the calibration accuracy of moisture sensor and the investment of agricultural production. For example, while the calibration precision of soil temperature and salinity is respectively 1%, the costs can be reduced by 30%.