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下一代农业系统数据、模型与知识产品:引言

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

作者信息

Antle John M, Jones James W, Rosenzweig Cynthia E

机构信息

Oregon State University, USA.

University of Florida, USA.

出版信息

Agric Syst. 2017 Jul;155:186-190. doi: 10.1016/j.agsy.2016.09.003.

Abstract

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.

摘要

农业系统模型已成为重要工具,可为越来越多的私营和公共部门决策者提供预测和评估能力。尽管研究不断进行且模型不断改进,但如今许多农业模型都是30 - 40年前最初进行的研究投资的直接产物,过去十年中数据、信息和通信技术(ICT)的许多重大进展尚未得到充分利用。《农业系统》特刊的目的是为下一代农业系统数据、模型和知识产品奠定基础。该特刊基于由农业模型相互比较与改进项目(AgMIP)牵头、在比尔及梅琳达·盖茨基金会支持下开展的一项“下一代”研究。

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