Heavy metal Hg stress detection in tobacco plant using hyperspectral sensing and data-driven machine learning methods

标题
Heavy metal Hg stress detection in tobacco plant using hyperspectral sensing and data-driven machine learning methods
作者
关键词
Proximal hyperspectral imaging, Tobacco plant, Heavy metal Hg stress, Canopy, Machine learning methods
出版商
Elsevier BV
发表日期
2020-09-06
DOI
10.1016/j.saa.2020.118917

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More