ArticleSensors (Basel, Switzerland)2009
Wireless in-situ Sensor Network for Agriculture and Water Monitoring on a River Basin Scale in Southern Finland: Evaluation from a Data User's Perspective.
Article in Sensors (Basel, Switzerland), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Agriculture data sharing review.Heliyon · 2025Article
- A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems.Sensors (Basel, Switzerland) · 2020Article
- Suspended solids and total phosphorus loads and their spatial differences in a lake-rich river basin as determined by automatic monitoring network.Environmental monitoring and assessment · 2015Article
- Design of a WSN for the sampling of environmental variability in complex terrain.Sensors (Basel, Switzerland) · 2014Article
- Smart query answering for marine sensor data.Sensors (Basel, Switzerland) · 2011Review
- Geosensors to support crop production: current applications and user requirements.Sensors (Basel, Switzerland) · 2011Review
- A diagnostic system for improving biomass quality based on a sensor network.Sensors (Basel, Switzerland) · 2011Article
- Sensing a changing world.Sensors (Basel, Switzerland) · 2009Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
Sensor networks are increasingly being implemented for environmental monitoring and agriculture to provide spatially accurate and continuous environmental information and (near) real-time applications. These networks provide a large amount of data which poses challenges for ensuring data quality and extracting relevant information. In the present paper we describe a river basin scale wireless sensor network for agriculture and water monitoring. The network, called SoilWeather, is unique and the first of this type in Finland. The performance of the network is assessed from the user and maintainer perspectives, concentrating on data quality, network maintenance and applications. The results showed that the SoilWeather network has been functioning in a relatively reliable way, but also that the maintenance and data quality assurance by automatic algorithms and calibration samples requires a lot of effort, especially in continuous water monitoring over large areas. We see great benefits on sensor networks enabling continuous, real-time monitoring, while data quality control and maintenance efforts highlight the need for tight collaboration between sensor and sensor network owners to decrease costs and increase the quality of the sensor data in large scale applications.
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Registered trials
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