Artificial neural networks for corn and soybean yield prediction

Agricultural Systems

Volumn 85, Issue 1, 2005, Pages 1-18

  Kaul, Monisha ^a,c   Hill, Robert L ^b   Walthall, Charles ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

Artificial neural network; Multiple regression; Soil fertility; Yield prediction models

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CROP YIELD; PREDICTION; SOYBEAN;

MARYLAND; NORTH AMERICA; UNITED STATES; WESTERN HEMISPHERE; WORLD;

GLYCINE MAX; ZEA MAYS;

EID: 19044373009     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agsy.2004.07.009     Document Type: Article

References (26)

1. Bandel, V.A., Heger, E.A., 1994. MASCAP Maryland's agronomic soil capability assessment program. Agronomy department and Cooperative Extension Service, University of Maryland
2. B. Basso, J.T. Ritchie, F.J. Pierce, R.P. Braga, and J.W. Jones Spatial validation of crop models for precision agriculture Agricultural Systems 68 2001 97 112
3. W.D. Batchelor, X.B. Yang, and A.T. Tshanz Development of a neural network for soybean rust epidemics Transactions of the ASAE 40 1997 247 252
4. Bolte, J., 1997. Biosystem modeling techniques. Biosystems Analysis Group, Oregon State University. [Online] Available at http://biosys.bre.orst. edu/BRE571/intro/intro_concepts.htm (verified 29th April. 2004)
5. I. Broner, and C.R. Comstock Combining expert systems and neural networks for learning site-specific conditions Computers and Electronics in Agriculture 19 1997 37 53
6. O.R. Crasta, and W.J. Cox Temperature and soil water effects on maize growth, development yield, and forage quality Crop Science 36 1996 341 348
7. D.A. Elizondo, R.W. McClendon, and G. Hoogenboom Neural network models for predicting flowering and physiological maturity of soybean Transactions of the ASAE 37 1994 981 988
8. A. Gbadegesin Soil rating for crop production in the Savanna Belt of South-Western Nigeria Agricultural Systems 23 1987 27 42
9. Huddleston, J.H., 1984. Development and use of soil productivity ratings in the US. Oregon Agriculture Experiment Station Technical Paper No. 6751. Corvallis, OR
10. J. Lawrence Introduction to Neural Networks 1994 California Scientific Software Press Nevada City, CA
11. T.M. Liang, A. Khan, L.A. Manrique, and R. Parmar Rating land for crop introduction Agricultural Systems 21 1986 107 127
12. Ya.A. Pachepsky, D. Timlin, and G. Varallyay Artificial neural networks to estimate soil water retention from easily measurable data Soil Science Society of American Journal 60 1996 727 733
13. R.A. Poluektov, and A.G. Topaj Crop modeling: nostalgia about present or reminiscence about future Agronomy Journal 93 2001 653 659
14. Rogers, D., 2001. Corn production handbook. Agriculture Experiment Station and Cooperative Extension Service, Kansas State University. [Online] Available at http://www.oznet.ksu.edu/library/crpsl2/c560.pdf (verified 29th April 2004)
15. B. Rosner Fundamentals of Biostatistics 5th ed. 1995 Wadsworth Publishing Company Belmont, CA
16. V.O. Sadras, and P.A. Calviño Quantification of grain yield response to soil depth in soybean, maize, sunflower, and wheat Agronomy Journal 93 2001 577 583
17. M. Schaap, and W. Bouten Modeling water retention curves of sandy soils using neural networks Water Resources Research 32 1996 3033 3040
18. D. Schmueli Application of neural networks in transportation planning Progress in Planning 50 1998 143 201
19. C.W. Smith Crop Production 1995 Wiley New York
20. Soil Quality Institute, NRCS-USDA, 2000. Soil rating for plant growth: a system of arraying soils according to their inherent productivity and suitability for crops
21. Soybean Production Handbook, 1988. Kansas State University Cooperative Extension Service, C-449
22. S.K. Starrett, S.K. Starrett, and G.L. Adams Using artificial neural networks and regression to predict percentage of applied nitrogen leached under turfgrass Communications in Soil Science and Plant Analysis 28 1997 497 507
23. Waltman, W.J., Sinclair, H.R., Waltman, S.W., 1998. Characterizing and mapping soil climate in the northern plains region. [Online] USDA Natural Resources Conservation Service, Northern Plains Regional Office and National Soil Survey Center. Available at http://www.nrel.colostate.edu/PROGRAMS/ CLIMATE_IMPACTS/glch2.htm (verified 06th September 2000)
24. F. Wang, C.W. Fraisse, N.R. Kitchen, and K.A. Sudduth Site-specific evaluation of the CROPGROW-soybean model on Missouri claypan soils Agriculural Systems 76 2002 985 1005
25. F.D. Whisler, B. Acock, D.N. Baker, R.E. Fye, H.F. Hodges, J.R. Lambert, H.E. Lemmon, J.M. McKinion, and V.R. Reddy Crop simulation models in agronomic systems Advances in Agronomy 40 1986 141 208
26. C.-C. Yang, S.O. Prasher, S. Sreekanth, N.K. Patni, and L. Masse An artificial neural network model for simulating pesticide concentrations in soil Transactions of the ASAE 40 1997 1285 1294