气候变化领域集成服务门户(CCPortal): Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications

CCPortal

DOI	10.3390/agronomy14020341
	Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
	Vidal, Claudia Leslie Arellano; Govan, Joseph Edward
发表日期	2024
EISSN	2073-4395
起始页码	14
结束页码	2
卷号	14 期号:2
英文摘要	Nanotechnology, nanosensors in particular, has increasingly drawn researchers' attention in recent years since it has been shown to be a powerful tool for several fields like mining, robotics, medicine and agriculture amongst others. Challenges ahead, such as food availability, climate change and sustainability, have promoted such attention and pushed forward the use of nanosensors in agroindustry and environmental applications. However, issues with noise and confounding signals make the use of these tools a non-trivial technical challenge. Great advances in artificial intelligence, and more particularly machine learning, have provided new tools that have allowed researchers to improve the quality and functionality of nanosensor systems. This short review presents the latest work in the analysis of data from nanosensors using machine learning for agroenvironmental applications. It consists of an introduction to the topics of nanosensors and machine learning and the application of machine learning to the field of nanosensors. The rest of the paper consists of examples of the application of machine learning techniques to the utilisation of electrochemical, luminescent, SERS and colourimetric nanosensor classes. The final section consists of a short discussion and conclusion concerning the relevance of the material discussed in the review to the future of the agroenvironmental sector.
英文关键词	machine learning; nanotechnology; agriculture
语种	英语
WOS研究方向	Agriculture ; Plant Sciences
WOS类目	Agronomy ; Plant Sciences
WOS记录号	WOS:001172088100001
来源期刊	AGRONOMY-BASEL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294875
作者单位	Universidad Adolfo Ibanez; Universidad de Chile
推荐引用方式 GB/T 7714	Vidal, Claudia Leslie Arellano,Govan, Joseph Edward. Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications[J],2024,14(2).
APA	Vidal, Claudia Leslie Arellano,&Govan, Joseph Edward.(2024).Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications.AGRONOMY-BASEL,14(2).
MLA	Vidal, Claudia Leslie Arellano,et al."Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications".AGRONOMY-BASEL 14.2(2024).