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Saving sanctuaries 期刊论文
Science, 2020
作者:  David Grimm
收藏  |  浏览/下载:4/0  |  提交时间:2020/12/07
The USDA‐ARS Experimental Watershed Network – Evolution, Lessons Learned, Societal Benefits, and Moving Forward 期刊论文
Water Resources Research, 2020
作者:  D. C. Goodrich;  P. Heilman;  M. Anderson;  C. Baffaut;  J. Bonta;  D. Bosch;  R. Bryant;  M. Cosh;  D. Endale;  T. L. Veith;  S. C. Havens;  A. Hedrick;  P. J. Kleinman;  E. J. Langendoen;  G. McCarty;  T. Moorman;  D. Marks;  F. Pierson;  J. R. Rigby;  H. Schomberg;  P. Starks;  J. Steiner;  T. Strickland;  Teferi Tsegaye
收藏  |  浏览/下载:10/0  |  提交时间:2020/11/24
Tomorrow's catch 期刊论文
Science, 2020
作者:  Erik Stokstad
收藏  |  浏览/下载:23/0  |  提交时间:2020/11/24
Eroded protections threaten U.S. forests 期刊论文
Science, 2020
作者:  Katharina-Victoria Pérez-Hämmerle;  Katie Moon;  Hugh P. Possingham;  Maria Jose Martinez-Harms;  James E. M. Watson
收藏  |  浏览/下载:16/0  |  提交时间:2020/11/24
Community-led governance for gene-edited crops 期刊论文
Science, 2020
作者:  Jennifer Kuzma;  Khara Grieger
收藏  |  浏览/下载:28/0  |  提交时间:2020/11/24
Rising from the ashes 期刊论文
Science, 2020
作者:  Gabriel Popkin
收藏  |  浏览/下载:10/0  |  提交时间:2020/11/20
“Forest mismanagement” misleads 期刊论文
Science, 2020
作者:  Mark W. Schwartz;  James H. Thorne;  Brandon M Collins;  Peter A. Stine
收藏  |  浏览/下载:13/0  |  提交时间:2020/10/26
Weathering the storm 期刊论文
Science, 2020
作者:  Jeffrey Mervis
收藏  |  浏览/下载:6/0  |  提交时间:2020/10/20
Qualitative crop condition survey reveals spatiotemporal production patterns and allows early yield prediction 期刊论文
Proceedings of the National Academy of Sciences, 2020
作者:  Santiago Beguería;  Marco P. Maneta
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/21
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven