农药
粮食安全
作物生产力
生产力
农业
农业生产力
精准农业
生产(经济)
食品加工
计算机科学
可持续农业
农业工程
环境资源管理
环境科学
业务
工程类
生态学
经济
生物
化学
宏观经济学
食品科学
作者
Peng Zhang,Zhiling Guo,Sami Ullah,Georgia Melagraki,Antreas Afantitis,Iseult Lynch
出处
期刊:Nature plants
[Springer Nature]
日期:2021-06-24
卷期号:7 (7): 864-876
被引量:235
标识
DOI:10.1038/s41477-021-00946-6
摘要
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. This Perspective discusses the applications of nanotechnology and artificial intelligence in agriculture, highlighting the opportunities and challenges of using these technologies to achieve sustainable and precision agriculture.
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