|
|
|
|
|
Srinivasagan N. Subhashree, C. Igathinathane, Adnan Akyuz, Md. Borhan, John Hendrickson, David Archer, Mark Liebig, David Toledo, Kevin Sedivec, Scott Kronberg and Jonathan Halvorson
Farmers and ranchers depend on annual forage production for grassland livestock enterprises. Many regression and machine learning (ML) prediction models have been developed to understand the seasonal variability in grass and forage production, improve ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matthes Rieke, Lorenzo Bigagli, Stefan Herle, Simon Jirka, Alexander Kotsev, Thomas Liebig, Christian Malewski, Thomas Paschke and Christoph Stasch
|
|
|
|
|
|
|
|
|
|
|
Patrick M. Carr, Greta G. Gramig and Mark A. Liebig
|
|
|
|
|
|
|
|
|
|
|
A.F. Wick, S.D. Merrill, T.J. Toy, and M.A. Liebig
Pág. 201 - 211
|
|
|
|
|
|
|
|
|
|
|
Donald L. Tanaka, Mark A. Liebig, Joseph M. Krupinsky and Stephen D. Merrill
Cropping systems in American agriculture are highly successful since World War II, but have become highly specialized, standardized, and simplified to meet the demands of an industrialized food system. Minimal attention has been given to the efficient ex...
ver más
|
|
|
|
|
|
|
|
|
|
|
D. E. Stott, S. S. Andrews, M. A. Liebig, B. J. Wienhold and D. L. Karlen
Pág. 107 - 119
|
|
|
|
|
|
|
|
|
|
|
M. A. Liebig, D. L. Tanaka, and J. R. Gross
Pág. 358 - 365
|
|
|
|
|
|
|
|
|
|
|
M. A. Liebig, D. J. Wikenheiser, and K. A. Nichols
Pág. 975 - 977
|
|
|
|
|
|
|
|
|
|
|
A.B. Frank, M.A. Liebig and D.L. Tanaka
Pág. 78 - 85
|
|
|
|
|
|
|
|
|
|
|
Liebig, M. A. Varvel, G. E. Doran, J. W. Wienhold, B. J.
Pág. 596 - 601
|
|
|
|
|
|