scholarly journals A Communication Efficient Framework for Soil Moisture Monitoring using Wireless Sensor Networks

2010 ◽  
Vol 1 (16) ◽  
pp. 17-27
Author(s):  
Dr.L.S. Jayashree ◽  
V.K. Yamini ◽  
R.Manju Priya
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Soil Moisture Monitoring

Dynamic sampling control policy for soil moisture measurements using wireless sensor networks

2011 ◽  
Vol 25 (4) ◽  
pp. 338-342
Author(s):  
Ke Li ◽  
Xiaopei Wu ◽  
Yue Wu ◽  
Huibo Jia
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Control Policy ◽  
Wireless Sensor ◽  
Dynamic Sampling

scholarly journals Implementation of Wireless Sensor Networks for Irrigation Control in Three Container Nurseries

2013 ◽  
Vol 23 (6) ◽  
pp. 747-753 ◽  
Author(s):  
Matthew Chappell ◽  
Sue K. Dove ◽  
Marc W. van Iersel ◽  
Paul A. Thomas ◽  
John Ruter
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Wireless Sensor ◽  
And Control ◽  
On Farm ◽  
Control Irrigation ◽  
Monitor And Control

Water quality and quantity are increasingly important concerns for agricultural producers and have been recognized by governmental and nongovernmental agencies as focus areas for future regulatory efforts. In horticultural systems, and especially container production of ornamentals, irrigation management is challenging. This is primarily due to the limited volume of water available to container-grown plants after an irrigation event and the resultant need to frequently irrigate to maintain adequate soil moisture levels without causing excessive leaching. To prevent moisture stress, irrigation of container plants is often excessive, resulting in leaching and runoff of water and nutrients applied to the container substrate. For this reason, improving the application efficiency of irrigation is necessary and critical to the long-term sustainability of the commercial nursery industry. The use of soil moisture sensing technology is one method of increasing irrigation efficiency, with the on-farm studies described in this article focusing on the use of capacitance-based soil moisture sensors to both monitor and control irrigation events. Since on-farm testing of these wireless sensor networks (WSNs) to monitor and control irrigation scheduling began in 2010, WSNs have been deployed in a diverse assortment of commercial horticulture operations. In deploying these WSNs, a variety of challenges and successes have been observed. Overcoming specific challenges has fostered improved software and hardware development as well as improved grower confidence in WSNs. Additionally, growers are using WSNs in a variety of ways to fit specific needs, resulting in multiple commercial applications. Some growers use WSNs as fully functional irrigation controllers. Other growers use components of WSNs, specifically the web-based graphical user interface (GUI), to monitor grower-controlled irrigation schedules.

scholarly journals An underground, wireless, open-source, low-cost system for monitoring oxygen, temperature, and soil moisture

2021 ◽  
Author(s):  
Elad Levintal ◽  
Yonatan Ganot ◽  
Gail Taylor ◽  
Peter Freer-Smith ◽  
Kosana Suvocarev ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Open Source ◽  
Low Cost ◽  
Wireless Sensor ◽  
Soil Parameters ◽  
Engineering Knowledge ◽  
Cost System ◽  
Wide Range

Abstract. The use of wireless sensor networks in the measurement of soil parameters represents one of the least invasive methods available to date. Wireless sensors pose the least disturbance to soil structure and having fewer aboveground cables reduce the risk of undesired equipment damage and potential data loss. However, implementing wireless sensor networks in field studies usually requires advanced and costly engineering knowledge. This study presents a new underground, wireless, open-source, low-cost system for monitoring soil oxygen, temperature, and soil moisture. The process of system design, assembly, programming, deployment, and power management is presented. The system can be left underground for several years without the need for changing the battery. Emphasis was given on modularity so that it can be easily duplicated or changed if needed, and deployed without previous engineering knowledge. Data from this type of system have a wide range of applications, including precision agriculture and high-resolution modelling.

scholarly journals Quantum Clone Elite Genetic Algorithm-Based Evaluation Mechanism for Maximizing Network Efficiency in Soil Moisture Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jing Xiao ◽  
Yang Liu ◽  
Jie Zhou
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Quantum Computing ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Efficiency Evaluation ◽  
Network Efficiency ◽  
Allocation Model ◽  
Evaluation Mechanism

In agriculture, soil moisture wireless sensor networks (SMWSNs) are used to monitor the growth of crops for obtaining higher yields. The purpose of this paper is to improve the network efficiency of SMWSNs. Therefore, we propose a novel network efficiency evaluation mechanism which is suitable for soil moisture sensors and design a sensor target allocation model (STAM) for the actual agricultural situation. After that, a quantum clone elite genetic algorithm (QCEGA) is proposed; then, QCEGA is applied to optimize the STAM for obtaining optimal results. QCEGA uses the parallel mechanism of quantum computing to encode individuals, integrates the quantum revolving gate in quantum computing and the concept of cloning in biology to avoid the algorithm from falling into local optimum, and applies the elite strategy to speed up the convergence of the algorithm. Subsequently, the proposed algorithm is compared with simulated annealing (SA) and particle swarm optimization (PSO). Under the novel network efficiency evaluation mechanism, the simulation results demonstrate that the network efficiency based on QCEGA is higher than that of SA and PSO; what is more, QCEGA has better convergence performance. In comparison with traditional wireless sensor network efficiency evaluation approaches, our methods are more in line with the development of modern agriculture and can effectively improve the efficiency of SMWSNs, thus ensuring that crops can have a better growth condition.

Precision of Soil Moisture in Agriculture Land Using Wireless Sensor Networks

2019 ◽  
Vol 11 (10-SPECIAL ISSUE) ◽  
pp. 506-512
Author(s):  
Dr.K. Karuppasamy ◽  
T.N. Prabhu ◽  
B. Mohankumar
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Agriculture Land ◽  
Land Using

scholarly journals An Extended Kriging Method to Interpolate Near-Surface Soil Moisture Data Measured by Wireless Sensor Networks

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1390 ◽  
Author(s):  
Jialin Zhang ◽  
Xiuhong Li ◽  
Rongjin Yang ◽  
Qiang Liu ◽  
Long Zhao ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Soil Moisture ◽  
Sensor Networks ◽  
Surface Soil ◽  
Wireless Sensor ◽  
Kriging Method ◽  
Surface Soil Moisture ◽  
Near Surface ◽  
Soil Moisture Data

Principles of Wireless Sensor Networks

2012 ◽  
Author(s):  
Mohammad S. Obaidat ◽  
Sudip Misra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor
Sign in / Sign up

Export Citation Format

Share Document