An artificial neural network to estimate soil temperature

Canadian Journal of Soil Science

Volumn 77, Issue 3, 1997, Pages 421-429

  Yang, Chun Chieh ^a   Prasher, Shiv O ^a   Mehuys, Guy R ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Artificial neural networks; Potential evapotranspiration; Precipitation; Soil temperature

Indexed keywords

ARTIFICIAL NEURAL NETWORK; SOIL TEMPERATURE;

EID: 0030815809     PISSN: 00084271     EISSN: None     Source Type: Journal    
DOI: 10.4141/S96-062     Document Type: Article

References (23)

1. Altendorf, C. T., Stone, M. L. and Elliott, R. L. 1992. Using a neural network for soil moisture predictions. 1992 International Winter Meeting, Paper no. 92-3557. American Society of Agricultural Engineers, St. Joseph, MI.
2. Brar, G. S., Steiner, J. L., Unger, P. W. and Prihar, S. S. 1992. Modeling sorghum seedling establishment from soil wetness and temperature of drying seed zones. Agron. J. 84: 905-910.
3. Elizondo, D. A., McClendon, R. W. and Hoogenboom, G. 1994. Neural network models for predicting flowering and physiological maturity of soybean. Trans. Am. Soc. Agric. Eng. 37: 981-988.
4. Flerchinger, G. N. 1991. Sensitivity of soil freezing simulated by the SHAW model. Trans. Am. Soc. Agric. Eng. 34: 2381-2389.
5. Grundmann, G. L., Renault, P., Rosso, L. and Bardin, R. 1995. Differential effects of soil water content and temperature on nitrification and aeration. Soil Sci. Soc. Am. J. 59: 1342-1349.
6. Hares, M. A. and Novak, M. D. 1992. Simulation of surface energy balance and soil temperature under strip tillage: I. Model description. Soil Sci. Soc. Am. J. 56: 22-29.
7. Haykin, S. 1994. Neural networks: A comprehensive foundation. Macmillan College Publishing Company, New York, NY. 696 pp.
8. Kemp, P. R., Cornelius, J. M. and Reynolds, J. F. 1992. A simple model for predicting soil temperatures in desert ecosystems. Soil Sci. 153: 280-287.
9. Kluender, R. A., Thompson, L. C. and Steigerwald, D. M. 1993. A conceptual model for predicting soil temperatures. Soil Sci. 156: 10-19.
10. McCann, I. R., McFarland, M. J. and Witz, J. A. 1991. Near-surface bare soil temperature model for biophysical models. Trans. Am. Soc. Agric. Eng. 34: 748-755.
11. McClendon, R. W., Hoogenboon, G. and Seginer, I. 1996. Optimal control and neural networks applied to peanut irrigation management. Trans. Am. Soc. Agric. Eng. 39: 275-279.
12. NeuralWare. 1993a. Neural computing: A technology handbook for Professional II/PLUS and NeuralWorks Explorer. NeuralWare, Pittsburgh, PA. 329 pp.
13. NeuralWare. 1993b. Reference guide: Software reference for Professional II/PLUS and NeuralWorks Explorer. NeuralWare, Pittsburgh, PA. 288 pp.
14. NeuralWare. 1995. NeuralWorks Professional II/PLUS v. 5.2 and NeuralWorks Explorer v. 5.2. NeuralWare, Pittsburgh, PA. 61 pp.
15. Novak, M. D. 1991. Analytical solutions to predict the long-term surface energy balance components and temperatures of a bare soil. Water Resour. Res. 27: 2565-2576.
16. Shukla, M. B., Kok, R., Prasher, S. O., Clark, G. and Lacroix, R. 1996. Use of artificial neural networks in transient drainage design. Trans. Am. Soc. Agric. Eng. 39: 119-124.
17. Singh, V. P. 1992. Elementary hydrology. Prentice-Hall, Englewood Cliffs, NJ. 973 pp.
18. Vigil, M. F. and Kissel, D. E. 1995. Rate of nitrogen mineralized from incorporated crop residues as influenced by temperature. Soil Sci. Soc. Am. J. 59: 1636-1644.
19. Wasserman, P. D. 1993. Advanced methods in neural computing. Van Nostrand Reinhold, New York, NY. 235 pp.
20. Winegardner, D. L. 1996. An introduction to soils for environmental professionals. Lewis Publishers, Boca Raton, FL. 270 pp.
21. Yang, C.-C., Prasher, S. O. and Lacroix, R. 1996a. Applications of artificial neural networks to land drainage engineering. Trans. Am. Soc. Agric. Eng. 39: 525-533.
22. Yang, C.-C., Prasher, S. O. and Lacroix, R. 1996b. Applications of artificial neural networks to simulate water-table depths under subirrigation. Can. Water Resour. J. 21: 27-44.
23. Yin, X. and Arp, P. A. 1993. Predicting forest soil temperatures from monthly air temperature and precipitation records. Can. J. For. Res. 23: 2521-2536.