140 results about "Chlorophyll concentration" patented technology

The invention discloses a method used for building a four-band semi-analysis model for inverting the chlorophyll a concentration in a high-turbidity water body. According to the method, a fourth band is introduced on the basis of the original three-band semi-analysis model for improvement, [Rrs-1(Lambda 4)-Rrs-1(Lambda 3)]-1 is used for replacing the Rrs(Lambda3) part in a three-band model factor and is used for reducing the backward scattering and absorption of suspension particles in the high-turbidity water body and the influence of colored dissolved organic matter (CDOM) on the remote sensing reflection rate, the chlorophyll a concentration characteristics are stressed, then, the positions of four corresponding bands are determined by a iteration method, influence factors are determined, and in addition, an inverting model is further obtained through linear regression. Compared with the three-band semi-analysis model, the model provided by the invention has the advantages that the chlorophyll a concentration in the high-turbidity water body is inverted, the influence of the suspension concentration and the CDOM is minimized, and the model precision is improved to a great degree.

A system, machines and methods for extracting select moieties, flavonoids, and essential oils from plant material without co-extracting chlorophyll, lipids and other undesirable constituents from plants. Super-cooled extraction techniques are taught. Likewise, according to embodiments methods provides 100% grain ethyl alcohol extract with a concentration of chlorophyll that is below 1%.

A system for measuring chlorophyll concentration in a leaf sample includes a leaf-holding illuminator device with a main body containing a power source, a plurality of switchable light sources emitting light at different spectra (e.g., red and white light from a broadband light source), and a cap detachably secured to the main body using one or more fastening means. The leaf sample is interposed between the main body and the cap and held in place during imaging. The system includes a mobile electronic device having a camera configured to capture an image of the leaf illuminated by the plurality of switchable light sources, the mobile electronic device having wireless connectivity to a network and an application contained therein configured to transfer the images to a remote sever or computer via the network for data processing. A final chlorophyll index value is calculated based on the transferred images.

The invention discloses a method for analyzing an underwater light transmission characteristic. The method is characterized by comprising the following steps of: 1, layering a water body in a depth direction, acquiring absorption coefficient values and scattering coefficient values which correspond to different layers, and calculating diffusion attenuation coefficients of the corresponding layers according to the absorption coefficient value and scattering coefficient value of each layer; 2, calculating the transmissivity of each layer according to the diffusion attenuation coefficient of each layer, multiplying the transmissivity of each layer to obtain the whole transmissivity of a water body communication channel, and correcting the whole transmissivity by adopting a truncation error to obtain the corrected whole transmissivity; and 3, outputting the transmission characteristic of the water body communication channel according to an attenuation situation of the water body. According to the method for analyzing the underwater light transmission characteristic, the communication channel transmission characteristic of light in the water is analyzed by using a vertical distribution model of chlorophyll concentration; and compared with the conventional attenuation coefficient model, the attenuation coefficient model has the advantages that the attenuation coefficients at different depths are not required to be measured through experiments, and the method is simple and is easy to apply.

The invention discloses a cyanobacterial bloom prediction method based on a multi-factor time sequence-random depth confidence network model and belongs to the water environment prediction technologyfield. In the invention, improved depth confidence network method is combined with a multi-factor time sequence analysis method so as to construct the multi-factor time sequence-random depth confidence network model, and then, a MT-RDBN model is adopted to discretize, an RCRBM learning algorithm and MT-RDBN model parameter fine-tuning are adopted too. An autoregressive model and a multi-factor regression model in a time sequence are used when the model is established, influence factors are considered so that an MT-DBN model can predict the representation factor of a future moment through the chlorophyll concentrations and the influence factor data of a current time and a historical moments, a sample application amount is reduced and prediction precision is increased.

A low cost sensing system that can measure both chlorophyll concentration and turbidity is provided. The system is an optical system that utilizes at least three light sensors for measuring side-scattered and forward scattered light, as well as fluorescence. The system is able to take optical density measurements, steady state fluorescence measurements and maximum fluorescence measurements, and can be configured for wireless control and data transmission. The system may also be housed in one or more fluidtight housings so as to make it submersible.

A system, machines and methods for extracting select moieties, flavonoids, and essential oils from plant material without co-extracting chlorophyll lipids and other undesirable constituents from plants. Super-cooled extraction techniques are taught. Likewise, according to embodiments methods provides 100% grain ethyl alcohol extract with a concentration of chlorophyll that is below 1%.

The invention discloses a small-size chlorophyll fluorescence in-situ monitor capable of being used in water depth of 3000m. According to the small-size chlorophyll fluorescence in-situ monitor, an exciting light modulation and synchronous detection technology is adopted, a system light path is optimized and a low-power-consumption circuit design is adopted, so that the small-size chlorophyll fluorescence in-situ monitor has the advantages of high detection precision, low power consumption, ambient light interference resistance and the like. The small-size chlorophyll fluorescence in-situ monitor can be connected with an underwater battery to carry out long-time self-contained type work or is mounted into a towed body to carry out underwater towing and vertical section investigation; the small-size chlorophyll fluorescence in-situ monitor can be integrated to third party platforms including a multi-parameter system, an ocean buoy / a subsurface buoy, a seabed observational network and the like in a modularized manner to carry out in-situ continuous monitoring. The small-size chlorophyll fluorescence in-situ monitor can be used for conveniently and rapidly determining vertical and horizontal distribution of chlorophyll concentrations of different sea areas from off-shore areas to the ocean.

A method for classifying underwater original position of polytoplankton by detecting concentration of polytoplankton includes setting a groove at one side of closed pressure box and a light shading cover at external side of said box; erecting LED array formed by parallel-arranged LED with center wavelength of 450nm, 525nm, 570nm 590nm and 620nm in light path at side surface of said groove; dividing polytoplankton to be five light spectrum set as green, blue, brown, red and mixture; measuring 685nm florescent intensity of five different exciting wavelength to calculate out chlorophyll concentration of each light spectrum according to known coefficient.