A calibration method of detecting soil water content based on the information-sharing in wireless sensor network

2011 ◽  
Vol 76 (2) ◽  
pp. 161-168 ◽  
Author(s):  
Rong-biao Zhang ◽  
Jing-jing Guo ◽  
Lei Zhang ◽  
Ye-cheng Zhang ◽  
Li-hong Wang ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Information Sharing ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Sensor Network ◽  
Calibration Method ◽  
Wireless Sensor

Expert soil moisture Wireless Sensor Network for the feed-back control of irrigation in heterogeneous crop systems

2020 ◽  
Author(s):  
Angela Puig Sirera ◽  
Giovanni Rallo ◽  
Stefano Giusti ◽  
Giuseppe Provenzano ◽  
Andrea Sbrana ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Feedback Control ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Third Mission ◽  
Pear Orchard

<p>New technologies in agriculture present the opportunity to create intuitive and user-friendly decision support systems, and to improve the productivity of the systems requiring water and energy. In the last few years, the adoption of these technologies have been increasing through third mission activities, and the collaboration between researchers, consultants, agri-food managers and farmers.</p><p>The general objective of the proposed dissemination activity carried out by the AgrHySMo laboratory of the University of Pisa, was to transfer a soil moisture-based wireless sensor network (SM-WSN) to a commercial pear orchard named Illuminati Frutta (Arezzo, Italy), for the feedback control of irrigation.</p><p>The plan of the third mission activity was designed by the following phases: i) the team evaluated the hydraulic performance and management of the irrigation system in the pear orchard; ii) the use of proximal sensing provided the NDVI for the biophysical characterization of the crop in a pilot area extended thirteen ha; iii) the open-source QGIS suite program was used to elaborate the collected images, to assess a zoning analysis, and to discretize homogeneous areas inside the orchard. These zoning maps were used to define the topology of the SM-WSN.</p><p>The orchard was characterized by four homogeneous zones, inside which at least one sensor of soil water content (FDR Drill and Drop probe, Sentek Inc.) was installed. A total of 6 probes were installed in the pilot area. The hardware and the smartphone of the dedicated sensor network applications, AgriNET, were provided by Tuctronics (Walla Walla, Washington, USA). The measurements of volumetric soil water contents are sent to a platform using the MODBUS RTU protocol interfaced with a communication board and then delivered, using the cellular 3G data network, to a MySQL database operated by AgriNET/Tuctronics accessible from the web. According to the ordinary scheduling of irrigation, the expert system allowed the farmer to maintain the soil water content within a pre-defined optimal range, which upper limit corresponds to the soil field capacity and the lower is the threshold below which water stress occurs. During the first experimental growing season, by considering the results obtained in the pilot plot, compared with the ordinary irrigation scheduling the farmer saved up to 35% of the water and energy supply. In the future, the proposed feedback control of irrigation protocol will be extended to the entire farm. Thus, the adoption of this new technology aimed at identifying the most appropriate irrigation management, have the potential to generate positive economic returns and to reduce the environmental impacts.</p>

Potential of Wireless Sensor Networks for Measuring Soil Water Content Variability

2010 ◽  
Vol 9 (4) ◽  
pp. 1002-1013 ◽  
Author(s):  
H.R. Bogena ◽  
M. Herbst ◽  
J.A. Huisman ◽  
U. Rosenbaum ◽  
A. Weuthen ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Wireless Sensor

scholarly journals A Robust Calibration Method for Continental-Scale Soil Water Content Measurements

2018 ◽  
Vol 17 (1) ◽  
pp. 170177 ◽  
Author(s):  
Joshua A. Roberti ◽  
Edward Ayres ◽  
Henry W. Loescher ◽  
Jianwu Tang ◽  
Gregory Starr ◽  
...  
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Calibration Method ◽  
Continental Scale

scholarly journals Traceability and Management Method of Supply Chain Information Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Chao Liu ◽  
Tengfei Ma
Keyword(s):  
Supply Chain ◽  
Wireless Sensor Network ◽  
Information Sharing ◽  
Sensor Network ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Wireless Sensor ◽  
Disturbance Management ◽  
Conducting Research ◽  
Trust Scale

Wireless sensor network is an emerging technology with broad application prospects and will play an increasingly important role in many aspects of people’s production practices. This article is aimed at conducting research on supply chain information traceability and management methods from the perspective of wireless sensor networks. This paper uses simulation methods and comparative experiment methods. From the perspective of Spanner algorithm research, the wireless sensor network technology is researched, the explanation and simplification of Spanner algorithm in supply chain information traceability are designed, and the parameters are optimized while the algorithm is optimized. Performance analysis introduced the research on supply chain disturbance management and conducted the reliability analysis of the supply chain trust scale. The experimental results show that among the three dimensions of supply chain information sharing, the reliability coefficients of the two dimensions of information sharing content and information sharing quality are 0.803 and 0.825, respectively, which are both greater than 0.8, indicating that the reliability is very good. Cronbach’s coefficient in the information sharing level dimension is equal to 0.665, which is in an acceptable range, the CITC value of this dimension is all higher than 0.4, and the value of the deleted item is lower than 0.665, so all the items of the information sharing level will also be retained. The research of supply chain information traceability and management methods based on wireless sensor network is well completed.

Sign in / Sign up

Export Citation Format

Share Document