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Real-Time Soil Moisture Monitoring Using Wireless Sensor Networks for Precision Agriculture
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Author(s): Haytham Mohamed Salem (University of Idaho, USA), Linda R. Schott (University of Idaho, USA)and Ali M. Ali (Desert Research Center, Egypt)
Copyright: 2025
Pages: 28
Source title:
Machine Learning for Environmental Monitoring in Wireless Sensor Networks
Source Author(s)/Editor(s): Parikshit N. Mahalle (Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Pune, India), Dattatray G. Takale (Vishwakarma Institute of Information Technology, India), Sachin Sakhare (Vishwakarma Institute of Information Technology, India)and Ganesh B. Regulwar (Vardhaman College of Engineering, India)
DOI: 10.4018/979-8-3693-3940-4.ch007
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Abstract
The necessity for precise measurement of soil moisture across spatial and temporal scales, particularly for agricultural purposes, has driven the development of various methodologies for assessing soil moisture content. In recent times, wireless soil moisture sensor networks have emerged as a notable advancement in this field. These networks facilitate the real-time observation of soil moisture, bridging the gap between localized and regional-scale measurements. This chapter is dedicated to exploring different Wireless Sensor Networks (WSN), their applications in agriculture, and their significance in precision irrigation. Furthermore, we delve into the utilization of a Crossbow ēKo® Pro-Series WSN for gathering soil water potential data. The objective of these measurements is to monitor soil water potential under diverse soil management systems. In conclusion, the methodology employed for assessing soil water potential through wireless sensor networks has proven to be appropriate and effective, establishing it as a valuable tool for implementing precision agriculture systems.
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