Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy
Authors
Keywords
-
Journal
SENSORS
Volume 17, Issue 12, Pages 2830
Publisher
MDPI AG
Online
2017-12-07
DOI
10.3390/s17122830
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Non-invasive absolute measurement of leaf water content using terahertz quantum cascade lasers
- (2017) Lorenzo Baldacci et al. Plant Methods
- A new spectral similarity water index for the estimation of leaf water content from hyperspectral data of leaves
- (2017) Meihong Fang et al. REMOTE SENSING OF ENVIRONMENT
- GC/MS profiling, in vitro antioxidant, antimicrobial and haemolytic activities of Smilax macrophylla leaves
- (2017) Muhammad Zubair et al. Arabian Journal of Chemistry
- Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging
- (2016) Yufeng Ge et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A gradient descent boosting spectrum modeling method based on back interval partial least squares
- (2016) Dong Ren et al. NEUROCOMPUTING
- Improved Sensitivity MEMS Cantilever Sensor for Terahertz Photoacoustic Spectroscopy
- (2016) Ronald Coutu et al. SENSORS
- Ultrasensitive THz – Plasmonics gaseous sensor using doped graphene
- (2016) Amrita Purkayastha et al. SENSORS AND ACTUATORS B-CHEMICAL
- Review About the Optical-Controlled Terahertz Waves Modulator
- (2015) Yang Bai et al. APPLIED SPECTROSCOPY REVIEWS
- Unravelling the complex trait of harvest index in rapeseed (Brassica napus L.) with association mapping
- (2015) Xiang Luo et al. BMC GENOMICS
- Best hyperspectral indices for tracing leaf water status as determined from leaf dehydration experiments
- (2015) Zhenxing Cao et al. ECOLOGICAL INDICATORS
- Spectroscopic estimation of leaf water content in commercial vineyards using continuum removal and partial least squares regression
- (2015) Ana Belén González-Fernández et al. SCIENTIA HORTICULTURAE
- Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
- (2015) Hongyi Ge et al. SENSORS
- Contactless Water Status Measurements on Plants at 35 GHz
- (2014) R. Gente et al. Journal of Infrared Millimeter and Terahertz Waves
- Modeling of adsorption isotherms of water vapor on Tunisian olive leaves using statistical mechanical formulation
- (2014) S. Knani et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Monitoring Plant Drought Stress Response Using Terahertz Time-Domain Spectroscopy
- (2014) N. Born et al. PLANT PHYSIOLOGY
- Evaluation of three proposed indices for the retrieval of leaf water content from the mid-wave infrared (2–6μm) spectra
- (2013) Saleem Ullah et al. AGRICULTURAL AND FOREST METEOROLOGY
- Determination of Leaf Water Content from Terahertz Time-Domain Spectroscopic Data
- (2013) R. Gente et al. Journal of Infrared Millimeter and Terahertz Waves
- Leaf water dynamics of Arabidopsis thaliana monitored in-vivo using terahertz time-domain spectroscopy
- (2013) E. Castro-Camus et al. Scientific Reports
- Review of Moisture and Liquid Detection and Mapping using Terahertz Imaging
- (2012) John F. Federici Journal of Infrared Millimeter and Terahertz Waves
- Water stress induces a differential and spatially distributed nitro-oxidative stress response in roots and leaves of Lotus japonicus
- (2012) Santiago Signorelli et al. PLANT SCIENCE
- An accurate retrieval of leaf water content from mid to thermal infrared spectra using continuous wavelet analysis
- (2012) Saleem Ullah et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Continuous wavelet analysis for the detection of green attack damage due to mountain pine beetle infestation
- (2010) T. Cheng et al. REMOTE SENSING OF ENVIRONMENT
- Spectroscopic determination of leaf water content using continuous wavelet analysis
- (2010) T. Cheng et al. REMOTE SENSING OF ENVIRONMENT
- The assessment of leaf water content using leaf reflectance ratios in the visible, near‐, and short‐wave‐infrared
- (2008) H.‐D. Seelig et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now