Next generation agricultural system data, models and knowledge products: Introduction

被引:56
作者
Antle, John M. [1 ]
Jones, James W. [2 ]
Rosenzweig, Cynthia E. [3 ]
机构
[1] Oregon State Univ, Corvallis, OR 97331 USA
[2] Univ Florida, Gainesville, FL 32611 USA
[3] Columbia Univ, NASA, New York, NY 10027 USA
基金
美国食品与农业研究所;
关键词
Agricultural systems; Data; Models; Knowledge products; Next generation;
D O I
10.1016/j.agsy.2016.09.003
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a "NextGen" study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:186 / 190
页数:5
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