Cargando…
Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves
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 leaves b...
Autores principales: | Zahid, Adnan, Abbas, Hasan T., Ren, Aifeng, Zoha, Ahmed, Heidari, Hadi, Shah, Syed A., Imran, Muhammad A., Alomainy, Akram, Abbasi, Qammer H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859614/ https://www.ncbi.nlm.nih.gov/pubmed/31832080 http://dx.doi.org/10.1186/s13007-019-0522-9 |
Ejemplares similares
-
Hardware-Based Hopfield Neuromorphic Computing for Fall Detection
por: Yu, Zheqi, et al.
Publicado: (2020) -
Antennas and propagation for 5G and beyond
por: Abbasi, Qammer H, et al.
Publicado: (2020) -
Editorial: Quantitative analysis of cranial ultrasound for brain injury in premature infants
por: Yang, Xiaodong, et al.
Publicado: (2023) -
Securing the Insecure: A First-Line-of-Defense for Body-Centric Nanoscale Communication Systems Operating in THz Band
por: Aman, Waqas, et al.
Publicado: (2021) -
Advances in body-centric wireless communication: applications and state-of-the-art
por: Abbasi, Qammer H, et al.
Publicado: (2016)