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Harnessing AI to Transform Agriculture and Inform Agricultural Research
IT Professional ( IF 2.6 ) Pub Date : 2020-05-01 , DOI: 10.1109/mitp.2020.2986124
Debra P. C. Peters 1 , Adam Rivers 1 , Jerry L. Hatfield 1 , Danielle G. Lemay 1 , Simon Liu 1 , Bruno Basso 2
Affiliation  

We provide an overview of the Special Issue on current advances, challenges, and opportunities for AI technologies in agriculture. We illustrate the potential of AI using four major components of the food system: production, distribution, consumption, and uncertainty. We recognize that the transformation of agriculture will require new tools to more precisely manage fields to increase production while minimizing the environmental risk to water and air quality. Combining AI with other technologies will be needed to provide effective production management strategies for a given combination of soil, climate, pest complexes, and vegetation. New methods will be needed to determine production limitations, and effective management options. The agricultural enterprise is prime for the use of AI and other technologies if they can be adapted for the unique characteristics of agroecosystems, including variability and directional changes in climate and other global change drivers as well as novel management and policy decisions, and economic market volatility.

中文翻译:

利用人工智能改变农业并为农业研究提供信息

我们概述了关于农业人工智能技术当前进展、挑战和机遇的特刊。我们使用食品系统的四个主要组成部分来说明人工智能的潜力:生产、分配、消费和不确定性。我们认识到,农业转型将需要新工具来更精确地管理田地,以增加产量,同时最大限度地减少对水和空气质量的环境风险。需要将人工智能与其他技术相结合,为土壤、气候、害虫复合体和植被的给定组合提供有效的生产管理策略。将需要新的方法来确定生产限制和有效的管理选项。
更新日期:2020-05-01
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