AUTOMATIC MONITORING SYSTEM FOR SOIL PARAMETERS WITH DATA LOGGER-BASED

Mengqun Zhai, Gerong Dang, Lvwen Huang, and Lumeng Hua

References

  1. [1] X. Yi, A. Zhu, S.X. Yang, & C. Luo, A Bio-Inspired Approach to Task Assignment of Swarm Robots in 3-DDynamic Environments, IEEE Transactions on Cybernetics, 47(4), 2017, 974-983.
  2. [2] X. Yang, M. Moallem, & R.V. Patel, A sensor-based navigation algorithm for a mobile robot using fuzzy logic,International Journal of Robotics & Automation, 21(2SI), 2006, 129-140.
  3. [3] J. Ni, L. Yang, L. Wu, & X. Fan, An Improved Spinal Neural System-Based Approach for HeterogeneousAUVs Cooperative Hunting, International Journal of Fuzzy Systems, 20(2SI), 2018, 672-686.
  4. [4] J. Zhang, H. Lv, D. He, L. Huang, Y. Dai, & Z, Zhang. Discrete Bioinspired Neural Network for CompleteCoverage Path Planning. International Journal of Robotics and Automation, 32(2), 2017, 186-193.
  5. [5] L. Huang, S. Chen, J. Zhang, B. Cheng, & M. Liu, Real-Time Motion Tracking for Indoor Moving Sphere Objectswith a LiDAR Sensor, Sensors, 17(19329), 2017, 1-22.
  6. [6] C. Knoblauch, C. Watson, C. Berendonk, R. Becker, N. Wrage-Moennig, & F. Wichern, Relationshipbetween Remote Sensing Data, Plant Biomass and Soil Nitrogen Dynamics in Intensively Managed Grasslands underControlled Conditions, Sensors, 17(14837), 2017, 1-13.
  7. [7] X. Zhang, J. Zhang, L. Li, Y. Zhang, & G. Yang, Monitoring Citrus Soil Moisture and Nutrients Using anIoT Based System, Sensors, 17(447), 2017, 1-10.
  8. [8] J. Zhang, J. Hu, L. Huang, Z. Zhang, & Y. Ma, A Portable Farmland Information Collection System withMultiple Sensors, Sensors, 16(176210), 2016, 1-17.
  9. [9] S. Chtourou, M. Kharrat, N.B. Amor, M. Jallouli, & M. Abid, A Low-Cost Prototyping Platform for IotDevice Development and Robotics, International Journal of Robotics and Automation, 32(3), 2017, 234-242.
  10. [10] R.A.B. Kpadonou, T. Owiyo, B. Barbier, F. Denton, F. Rutabingwa, & A. Kiemad, Advancing climatesmart-agriculture in developing drylands: Joint analysis of the adoption of multiple on-farm soil and waterconservation technologies in West African Sahel, Land Use Ploicy, 61, 2017, 196-207.
  11. [11] X. He, Z. Du, Y. Wang, N. Lu, & Q. Zhang, Sensitivity of soil respiration to soil temperature decreasedunder deep biochar amended soils in temperate croplands, Applied Soil Ecology, 108, 2016, 204-210.
  12. [12] S. Gonzalez-Ubierna, M. Teresa De La Cruz, & M. Angel Casermeiro, Climate factors mediate soil respirationdynamics in Mediterranean agricultural environments: an empirical approach, Soil Research, 52(6), 2014, 543-553.
  13. [13] C. Huang, W. Chen, Y. Li, H. Shen, & X. Li, Assimilating multi-source data into land surface model tosimultaneously improve estimations of soil moisture, soil temperature, and surface turbulent fluxes in irrigated fields,Agricultural and Forest Meteorology, 230, 2016, 142-156.
  14. [14] B. Kim, Laboratory Calibration of Time-Domain Reflectometry and Analysis of Soil Water Content in KoreaLTPP Sections, KSCE Journal of Civil Engineering, 14(4), 2010, 503-511.
  15. [15] Y.H. Chen, Integration of Sentry (TM) Visibility Sensor into Campbell Scientific Data Logger CR1000,International Conference on Environment Science and Engineering (ICESE), Bali Island, Indonesia, 2012, 1137-1143.
  16. [16] Y.H. Chen, & S.R. Li, Design and Realization of an Automatic Weather Station at Island, InternationalConference on Photonics, 3D-Imaging, and Visualization, Guangzhou, P. R. China, 2011, 1493-1495.
  17. [17] L.P. Hughes, & R. Richards, An Acoustic and Wireless Network Linking an Offshore Seabed Current and WaveMonitoring Station to a Shore Based Receiver, Journal of Coastal Research, (561), 2009, 1-4.
  18. [18] M.J. Savage, Nowcasting daily minimum air and grass temperature, International Journal of Biometeorology,60(2), 2016, 183-194.
  19. [19] L. Sherrod, W. Sauck, & Jr. D.D. Werkema, A Low-Cost, In Situ Resistivity and Temperature MonitoringSystem, Ground Water Monitoring and Remediation, 32(2), 2012, 31-39.
  20. [20] A.T. DeGaetano, D.S. Wilks, & M. McKay, A physically based model of soil freezing in humid climates usingair temperature and snow cover data, Journal of Applied Meteorology, 35(6), 1996, 1009-1027.
  21. [21] Jr. R.C. Beeson, Weighing lysimeter systems for quantifying water use and studies of controlled water stress forcrops grown in low bulk density substrates, Agricultural Water Management, 98(6), 2011, 967-976.

Important Links:

Go Back