Machine learning enabled identification and real-time prediction of living plants’ stress using terahertz waves

Machine learning enabled identification and real-time prediction of living plants’ stress using terahertz waves

Considering the ongoing climate transformations, the appropriate and reliable phenotyping information of plant leaves is quite significant for early detection of disease, yield improvement. In real-life digital agricultural environment, the real-time prediction and identification of living plants le...

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Bibliographic Details
Main Authors: Adnan Zahid, Kia Dashtipour, Hasan T. Abbas, Ismail Ben Mabrouk, Muath Al-Hasan, Aifeng Ren, Muhammad A. Imran, Akram Alomainy, Qammer H. Abbasi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-08-01
Series:Defence Technology
Subjects:
Terahertz sensing
Plants health
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914722000034

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http://www.sciencedirect.com/science/article/pii/S2214914722000034

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