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Adaptive Sensor Fusion Method for Agricultural and Environmental Monitoring

C. E. cugnasca, M. A. Dota

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Environmental and agricultural monitoring involves continuous observation in areas such as grains crop, in order to evaluate changes in the environment. Wireless Sensor Networks may be employed in this context allowing the use of several sensors to collect data. The aim is to present the design of an Adaptive Sensor Fusion method appropriate for agricultural and environmental monitoring applications through Wireless Sensor Networks. The proposed method integrates Adaptive Technology mechanisms to enable it to dynamically adapt to changes that may occur in real time resulting in better data analysis and processing by fusion techniques and, consequently, in a data series with better quality for decision-making systems. The method focuses on sensor fusion in order to obtain inferences about the environment in a complementary way, trying to infer information from different sensor sources (different properties) in a dynamically changing environment. The employment of sensor fusion methods is to provide agricultural and environmental monitoring a better understanding of the place under observation. Sensor Fusion methods can abstract information from raw data collected by the sensor nodes in order to show the environment real condition. The Adaptive Sensor Fusion method proposed can be set to behave adaptively to input stimuli and adjust to changes in real time seeking better results for decision-making systems. By the application of the method proposed, the error rate is expected to be reduced by making applications based on these data more reliable.

Keyword: Wireless Sensor Network, Adaptive Technology, Precision Agriculture, Water Quality.

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