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Chlorophyll

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[Monitoring of the Moskva River Water Using Microbiological Parameters and Chlorophyll a Fluorescence].

Mikrobiologiia
The results of investigations of three Moskva River sites with different degree of pollution using a complex of microbiological characteristics and the parameters of chlorophyll a fluorescence are presented. We determined that the bacterioplankton se...

Evaluation of extra virgin olive oil stability by artificial neural network.

Food chemistry
The stability of extra virgin olive oil in polyethylene terephthalate bottles and tinplate cans stored for 6 months under dark and light conditions was evaluated. The following analyses were carried out: free fatty acids, peroxide value, specific ext...

Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea.

The Science of the total environment
Chlorophyll-a (Chl-a) is a direct indicator used to evaluate the ecological state of a waterbody, such as algal blooms that degrade the water quality in lakes, reservoirs and estuaries. In this study, artificial neural network (ANN) and support vecto...

[Adaptive "3R" De-Noising Algorithm Based on Near Infrared Bi-Spectrum].

Guang pu xue yu guang pu fen xi = Guang pu
Adaptive de-noising algorithm is proposed based on transmission spectrum and absorption spectrum of near infrared. Near infrared transmission spectrum and absorption spectrum collected synchronously are decomposed into intrinsic mode functions by ens...

[Research on Modeling Method for Chlorophyll Content Fine Measurement Based on Neural Network].

Guang pu xue yu guang pu fen xi = Guang pu
Aiming at SPAD values of living plant leaf chlorophyll content affected easily by the blade thickness, water content, etc, a fine retrieval method of chlorophyll content based on multiple parameters of neural network model is presented. The SPAD valu...

Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations.

Computational intelligence and neuroscience
A neural network (NN) technique to fill gaps in satellite data is introduced, linking satellite-derived fields of interest with other satellites and in situ physical observations. Satellite-derived "ocean color" (OC) data are used in this study becau...

[A hyperspectral assessment model for leaf chlorophyll content of Pinus massoniana based on neural network].

Ying yong sheng tai xue bao = The journal of applied ecology
The relationships between the leaf chlorophyll content (LCC) of Pinus massoniana at different growth stages and their chlorophyll content were analyzed. 7 of 36 red edge-based parameters were finally selected as the typical spectral response paramete...

Integrating multiple vegetation indices via an artificial neural network model for estimating the leaf chlorophyll content of Spartina alterniflora under interspecies competition.

Environmental monitoring and assessment
The invasive species Spartina alterniflora and native species Phragmites australis display a significant co-occurrence zonation pattern and this co-exist region exerts most competitive situations between these two species, competing for the limited s...