基于机器学习的藻类水华设计和监测：最新趋势和未来展望——简评

IF 11.4 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Critical Reviews in Environmental Science and Technology Pub Date : 2023-09-07 DOI:10.1080/10643389.2023.2252313

Abdul Gaffar Sheik, Arvind Kumar, Reeza Patnaik, S. Kumari, F. Bux

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine learning-based design and monitoring of algae blooms: Recent trends and future perspectives – A short review

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来源期刊

Critical Reviews in Environmental Science and Technology 环境科学-环境科学

CiteScore

27.30

自引率

1.60%

发文量

审稿时长

2 months

期刊介绍： Two of the most pressing global challenges of our era involve understanding and addressing the multitude of environmental problems we face. In order to tackle them effectively, it is essential to devise logical strategies and methods for their control. Critical Reviews in Environmental Science and Technology serves as a valuable international platform for the comprehensive assessment of current knowledge across a wide range of environmental science topics. Environmental science is a field that encompasses the intricate and fluid interactions between various scientific disciplines. These include earth and agricultural sciences, chemistry, biology, medicine, and engineering. Furthermore, new disciplines such as environmental toxicology and risk assessment have emerged in response to the increasing complexity of environmental challenges. The purpose of Critical Reviews in Environmental Science and Technology is to provide a space for critical analysis and evaluation of existing knowledge in environmental science. By doing so, it encourages the advancement of our understanding and the development of effective solutions. This journal plays a crucial role in fostering international cooperation and collaboration in addressing the pressing environmental issues of our time.