Integration of electromagnetic induction sensor data in soil sampling scheme optimization using simulated annealing

Author:

Barca E.,Castrignanò A.,Buttafuoco G.,De Benedetto D.,Passarella G.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference37 articles.

1. Adamchuk, V. I., & Viscarra Rossel, R. A. (2010). Development of on-the-go proximal soil sensor systems. In R. A. Viscarra Rossel, A. B. McBratney, & B. Minasny (Eds.), Proximal soil sensing (pp. 15–28). New York: Springer.

2. Adamchuk, V. I., Viscarra Rossel, R. A., Sudduth, K. A., & Schulze Lammers, P. (2011). Sensor fusion for precision agriculture. In C. Thomas (Ed.), Sensor fusion - foundation and applications (pp. 27–40). Croatia: In-Tech.

3. Barca, E., Passarella, G., Vurro, M., & Morea, A. (2011). A software for optimal information based downsizing/upsizing of existing monitoring networks. In Spatial2 Conference: Spatial Data Methods for Environmental and Ecological Processes, Foggia (IT), 1-2 September 2011.

4. Barca, E., Passarella, G., Vurro, M., & Morea, A. (2015). MSANOS: Data-driven, multi-approach software for optimal redesign of environmental monitoring networks. Water Resources Management, 29(2), 619–644.

5. Benson, R. R., Glaccum, A., & Noel, M. R. (1988). Geophysical techniques for sensing buried wastes and waste migration. Dublin: National Water Well Association.

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