Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
System architecture for wireless sensor networks
System architecture for wireless sensor networks
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Report from the Field: Results from an Agricultural Wireless Sensor Network
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
WSNet -- WineCellar An Evolutionary Wireless Sensor Network to Monitor Wine-Cellars
ICSNC '07 Proceedings of the Second International Conference on Systems and Networks Communications
Programming models for sensor networks: A survey
ACM Transactions on Sensor Networks (TOSN)
Lifetime planning for TDMA-based proactive WSN with structured deployment
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
Vineyard Computing: Sensor Networks in Agricultural Production
IEEE Pervasive Computing
Review: Wireless sensors in agriculture and food industry-Recent development and future perspective
Computers and Electronics in Agriculture
Programming wireless sensor networks: Fundamental concepts and state of the art
ACM Computing Surveys (CSUR)
The design space of wireless sensor networks
IEEE Wireless Communications
Computers and Electronics in Agriculture
Prototyping the visualization of geographic and sensor data for agriculture
Computers and Electronics in Agriculture
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Precision agriculture is a field which provides one of the most suitable scenarios for the deployment of wireless sensor networks (WSNs). The particular characteristics of agricultural environments - which may vary significantly with location - make WSNs a key technology able to provide accurate knowledge to farmers. This knowledge represents a valuable resource because it enables real-time decision making with regard to issues such as establishing water saving policies while providing adequate irrigation and choosing the right time to harvest the fruit based on its maturity. This article proposes a methodology consisting of a set of well-defined phases that cover the complete life cycle of WSN applications for agricultural monitoring. We have studied different existing real-world scenarios where WSNs are being applied. Based on this study we have discovered that there exist significant commonalities but no methodology that specifies the best practices that should be used in the general, crop-independent case. The lack of a general methodology negatively impacts the amount of effort, development time, and cost of developing applications.