References
- Akyildiz, I. F., & Stuntebeck, E. P. (2006). Wireless underground sensor networks: Research challenges. Ad Hoc Networks, 4(6), 669-686.
- Vuran, M. C., & Akyildiz, I. F. (2010). Channel model and analysis for wireless underground sensor networks in soil medium. Physical Communication, 3(4), 245-254.
- Sun, Z., & Akyildiz, I. F. (2010). Magnetic induction communications for wireless underground sensor networks. Antennas and Propagation, IEEE Transactions on, 58(7), 2426-2435.
- Sun, Z., & Akyildiz, I. (2013). Optimal Deployment for Magnetic Induction-Based Wireless Networks in Challenged Environments.
- Santamaría-Ibirika, A., Cantero, X., Salazar, M., Devesa, J., & Bringas, P. G. (2013, October). Volumetric Virtual Worlds with Layered Terrain Generation. In Cyberworlds (CW), 2013 International Conference on (pp. 20-27). IEEE.
- Yang, W., & Wu, S. (2013, November). Data Modeling and Visualization of Guangzhou Underground Space. In Information Technology and Applications (ITA), 2013 International Conference on (pp. 343-347). IEEE.
- Jayaram, M. N., & Venugopal, C. R. (2014, January). ModelingSimulation of an Underground Wireless Communication Channel. In Proceedings of International Conference on Internet Computing and Information Communications (pp. 81-91). Springer India.
- Silva, A. R., & Vuran, M. C. (2009). Empirical evaluation of wireless underground-to-underground communication in wireless underground sensor networks. In Distributed Computing in Sensor Systems (pp. 231244). Springer Berlin Heidelberg.
- Bogena, H. R., Huisman, J. A., Meier, H., Rosenbaum, U., & Weuthen, A. (2009). Hybrid wireless underground sensor networks: Quantification of signal attenuation in soil. Vadose Zone Journal, 8(3), 755-761.
- Parameswaran, V., Zhou, H., & Zhang, Z. (2012, December). Irrigation control using wireless underground sensor networks. In Sensing Technology (ICST), 2012 Sixth International Conference on (pp. 653659). IEEE
- Parameswaran, V.; Zhou, H; Zhang, Z. ((2013, December) Wireless underground sensor network design for irrigation control: Simulation of RFID deployment. In Sensing Technology (ICST), 2013 Seventh International Conference on (pp.842-849). IEEE.
- Andersen, P.C. and T.E. Crocker. (2008) The pecan tree. Univ. of FL EDIS publication HS 982. (17 pp). Retrieved from http://edis.ifas.ufl.edu/hs229
- Australian Macademias. (2012). 2007 Benchmarking report - The Australian macadamia industry 2009 to 2012 seasons Project: MC09001 Retrieved from http://www.australian-macadamias.org/item/6646-latest-benchmarking-report-released
- Tree Plantation (2002). Nut Trees. Retrieved from http://www.treeplantation.com/nut-trees.html
- Mitášová, H., & Hofierka, J. (1993). Interpolation by regularized spline with tension: II. Application to terrain modeling and surface geometry analysis. Mathematical Geology, 25(6), 657-669.
- Erskine, R. H., Green, T. R., Ramirez, J. A., & MacDonald, L. H. (2007). Digital elevation accuracy and grid cell size: Effects on estimated terrain attributes. Soil Science Society of America Journal, 71(4), 1371-1380.
- CARTER, J. R. (1992). The effect of data precision on the calculation of slope and aspect using gridded DEMs. Cartographica: The International Journal for Geographic Information and Geovisualization, 29(1), 22-34.
- Hodgson, M. E. (1998). Comparison of angles from surface slope/aspect algorithms. Cartography and Geographic Information Systems, 25(3), 173-185.
- Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991). Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrological processes, 5(1), 3-30.
- Grunwald, S. (2005). What do we really know about the space-time continuum of soil-landscapes? In Grunwald, S. (Ed.). Environmental soil-landscape modeling: Geographic information technologies and pedometrics. (pp. 3-36). Boca Raton, FL, USA: CRC Press.
- Lal, R., & Shukla, M. K. (2004). Principles of soil physics. CRC Press.