Paper Info
Title
On the potential of Wireless Sensor Networks for the in-field assessment of bio-physical crop parameters
Abstract
The exploration of bio-physical crop parameters is fundamental for the efficiency of smart agriculture. The leaf area index (LAI) is one of the most important crop parameters and serves as a valuable indicator for yield-limiting processes. It contributes to situational awareness ranging from agricultural optimization to global economy. In this paper, we investigate the potential of Wireless Sensor Networks (WSNs) for the in-field assessment of bio-physical crop parameters. Our experiences using commercial off-the-shelf (COTS) sensor nodes for the indirect and nondestructive LAI estimation are described. Furthermore, we present the design of our measurement architecture and results of various in-field measurements. By directly comparing the results achieved by WSN technology with those of a conventional approach, represented by a widely used standard instrument, we analyze whether bio-physical crop characteristics can be derived from WSN data with a desired accuracy. Moreover, we propose a simple approach to significantly enhance the accuracy of COTS sensor nodes for LAI estimation while, at the same time, reveal open challenges.
Year
DOI
Venue
2014
10.1109/LCNW.2014.6927698
Local Computer Networks Workshops
Keywords
Field
DocType
agriculture,crops,wireless sensor networks,COTS sensor nodes,LAI estimation,WSN technology,agricultural optimization,bio-physical crop parameter,commercial off-the-shelf sensor node,global economy,leaf area index,smart agriculture,wireless sensor networks
Leaf area index,Key distribution in wireless sensor networks,Computer science,Situation awareness,Ranging,Mobile wireless sensor network,Wireless sensor network,Distributed computing
Conference
Citations 
PageRank 
References 
4
0.62
6
Authors
4
Name
Order
Citations
PageRank
Bauer, J.140.62
Bastian Siegmann2115.18
Thomas Jarmer3114.17
Nils Aschenbruck455556.28