Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

Abstract Background The demand for effective use of water resources has increased because of ongoing global climate transformations in the agriculture science sector. Cost-effective and timely distributions of the appropriate amount of water are vital not only to maintain a healthy status of plants...

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Bibliographic Details
Main Authors: Adnan Zahid, Hasan T. Abbas, Aifeng Ren, Ahmed Zoha, Hadi Heidari, Syed A. Shah, Muhammad A. Imran, Akram Alomainy, Qammer H. Abbasi
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Plant Methods
Subjects:
Water content
Plant leaves
Terahertz (THz)
Sensing
Agriculture
Classification
Online Access:http://link.springer.com/article/10.1186/s13007-019-0522-9

Internet

http://link.springer.com/article/10.1186/s13007-019-0522-9

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