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纳米技术和人工智能助力可持续与精准农业。

Nanotechnology and artificial intelligence to enable sustainable and precision agriculture.

机构信息

School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.

Division of Physical Sciences and Applications, Hellenic Military Academy, Vari, Greece.

出版信息

Nat Plants. 2021 Jul;7(7):864-876. doi: 10.1038/s41477-021-00946-6. Epub 2021 Jun 24.

Abstract

Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires bold new approaches and integration of knowledge from diverse fields, such as materials science and informatics. The convergence of precision agriculture, in which farmers respond in real time to changes in crop growth with nanotechnology and artificial intelligence, offers exciting opportunities for sustainable food production. Coupling existing models for nutrient cycling and crop productivity with nanoinformatics approaches to optimize targeting, uptake, delivery, nutrient capture and long-term impacts on soil microbial communities will enable design of nanoscale agrochemicals that combine optimal safety and functionality profiles.

摘要

气候变化、人口增长、生物燃料生产用地竞争以及土壤质量下降等问题正给全球粮食安全带来挑战。寻找可持续解决方案需要采取大胆的新方法,并整合来自材料科学和信息学等不同领域的知识。精准农业的融合为可持续粮食生产带来了令人兴奋的机会,农民可以利用纳米技术和人工智能实时响应作物生长变化。将现有的养分循环和作物生产力模型与纳米信息学方法相结合,以优化靶向、吸收、传递、养分捕获和对土壤微生物群落的长期影响,将使设计兼具最佳安全性和功能特性的纳米级农用化学品成为可能。

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