4.4 Article

Quantifying chlorophyll-aandbcontent in tea leaves using hyperspectral reflectance and deep learning

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Estimating Chlorophyll Concentration Index in Sugar Beet Leaves Using an Artificial Neural Network

Omer Caliskan et al.

POLISH JOURNAL OF ENVIRONMENTAL STUDIES (2020)

Article Computer Science, Artificial Intelligence

Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0

Luca Romeo et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare

Md. Zia Uddin et al.

INFORMATION FUSION (2020)

Article Agricultural Engineering

Bio-refinery of Chlorella sorokiniana with pulsed electric field pre-treatment

Lars Leonhardt et al.

BIORESOURCE TECHNOLOGY (2020)

Article Remote Sensing

Monitoring Photosynthetic Pigments of Shade-Grown Tea from Hyperspectral Reflectance

Rei Sonobe et al.

CANADIAN JOURNAL OF REMOTE SENSING (2018)

Article Remote Sensing

Monitoring Photosynthetic Pigments of Shade-Grown Tea from Hyperspectral Reflectance

Rei Sonobe et al.

CANADIAN JOURNAL OF REMOTE SENSING (2018)

Article Environmental Sciences

Assessing hyperspectral indices for tracing chlorophyll fluorescence parameters in deciduous forests

Rei Sonobe et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2018)

Article Plant Sciences

A comparison between different chlorophyll content meters under nutrient deficiency conditions

Hazem M. Kalaji et al.

JOURNAL OF PLANT NUTRITION (2017)

Article Chemistry, Applied

Cider fermentation process monitoring by Vis-NIR sensor system and chemometrics

Alberto Villar et al.

FOOD CHEMISTRY (2017)

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Environmental Sciences

Developing a spectral library of mangrove species of Indian east coast using field spectroscopy

Kumar Arun Prasad et al.

GEOCARTO INTERNATIONAL (2015)

Article Geochemistry & Geophysics

Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes

Miguel Lazaro-Gredilla et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2014)

Article Computer Science, Artificial Intelligence

Regression conformal prediction with random forests

Ulf Johansson et al.

MACHINE LEARNING (2014)

Article Environmental Sciences

PROSPECT-4 and 5:: Advances in the leaf optical properties model separating photosynthetic pigments

Jean-Baptiste Feret et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Article Computer Science, Artificial Intelligence

A fast learning algorithm for deep belief nets

Geoffrey E. Hinton et al.

NEURAL COMPUTATION (2006)

Article Meteorology & Atmospheric Sciences

Relationship between gross primary production and chlorophyll content in crops:: Implications for the synoptic monitoring of vegetation productivity

AA Gitelson et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2006)

Article Plant Sciences

Construction costs, chemical composition and payback time of high- and low-irradiance leaves

H Poorter et al.

JOURNAL OF EXPERIMENTAL BOTANY (2006)

Article Agriculture, Multidisciplinary

Identification of chlorophylls and carotenoids in major teas by high-performance liquid chromatography with photodiode array detection

Y Suzuki et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2003)

Article Biochemistry & Molecular Biology

Determination of relative chlorophyll binding affinities in the major light-harvesting chlorophyll a/b complex

S Hobe et al.

JOURNAL OF BIOLOGICAL CHEMISTRY (2003)

Article Soil Science

Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties

CW Chang et al.

SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2001)