In one embodiment, a diagnostic system for biological samples is disclosed. The diagnostic system includes a diagnostic instrument, and a portable electronic device. The diagnostic instrument has a reference color bar and a plurality of chemical test pads to receive a biological sample. The portable electronic device includes a digital camera to capture a digital image of the diagnostic instrument in uncontrolled lightning environments, a sensor to capture illuminance of a surface of the diagnostic instrument, a processor coupled to the digital camera and sensor to receive the digital image and the illuminance, and a storage device coupled to the processor. The storage device stores instructions for execution by the processor to process the digital image and the illuminance, to normalize colors of the plurality of chemical test pads and determine diagnostic test results in response to quantification of color changes in the chemical test pads.

A system and method for obtaining real-time data regarding the condition of a crop and planning and executing an irrigation cycle in response to the data. The invention uses an unmanned aerial vehicle to survey the conditions within an irrigated area. The irrigation system includes components to vary the amount of water dispensed within particular areas. The data obtained is used to create an irrigation schedule that the irrigation system then carries out. For example, surveyed areas that contain more moisture may be given relatively less water during the next irrigation cycle. The data obtained may also be used to alter a scheduled delivery of fertilizer, pesticide, or some other substance.

Disclosed are a wine product positioning method, a wine product information management method and apparatus, a computer device, and a computer-readable storage medium. Based on a preset camera in a wine cellar, a wine product image captured by the preset camera and corresponding to a target wine product is acquired (S21). Based on a preset wine label recognition method combining optical character recognition (OCR) and deep learning recognition, the wine product image is recognized to obtain a wine label corresponding to the wine product image (S22). A preset capture position corresponding to the camera is acquired, and the preset capture position is taken as a current position corresponding to the target wine product (S23). A position corresponding to the target wine product is described by using the wine label and the current position, to position the target wine product (S24).

Methods and systems for determining water status in plant tissue are provided. A number of systems are capable of using terahertz signals to generate signals measuring total water content in plant tissue, including plant leaves. Using these signals, methods are capable of determining water status variables, including water mass per leaf area, relative water content, and leaf water potential, which can aid in agricultural, ecological, and environmental health, such as dehydration and droughst stress of plants.

Methods and systems for determining water status in plant tissue are provided. A number of systems are capable of using terahertz signals to generate signals measuring total water content in plant tissue, including plant leaves. Using these signals, methods are capable of determining water status variables, including water mass per leaf area, relative water content, and leaf water potential, which can aid in agricultural, ecological, and environmental health, such as dehydration and droughst stress of plants.

The present document discloses a method of determining thickness of a wet film, in particular of microfibrillated cellulose. The method comprises conveying said film (20) in a wet state on a conveyor (10) having a conveyor width, the wet film having a film width which is less than the conveyor width, providing a laser projection (1511) across a film edge, acquiring a series of images, each depicting an area of the conveyor, wherein the laser projection, a portion of the film and a portion of an exposed conveyor surface are visible, and using at least some of said images to determine at least one of a film thickness and a film thickness distribution across the film width. The document also discloses a method of forming a film, in particular a microfibrillated cellulose film, and a device for producing such film.

An identification apparatus that identifies properties of a specimen conveyed at a predetermined conveying velocity by a conveying unit includes an identification unit configured to identify a material included in the specimen and acquire a length in a conveying direction of the specimen, and a command unit configured to generate a control signal for controlling a screening device to perform a screening operation with predetermined intensity corresponding to the length, wherein the command unit changes the intensity of the screening operation per the length according to the length.

The present disclosure relates, according to some embodiments, to a method of determining a quantitatively measured photoprotection of a photoprotective composition, the method comprising: (a) distributing the photoprotective composition in a position in between a drawdown bar and at least one substrate to produce a distributed photoprotective composition; (b) drawing down the distributed photoprotective composition to a thickness on at least one substrate to produce a drawn down sample film; (c) drying the drawn down sample film to produce a dried sample film; (d) measuring a UV absorption of the dried sample film to produce a UV absorption spectrum; (e) determining the quantitatively measured photoprotection of the photoprotective composition from the UV absorption spectrum.

In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract one or more phenotypic traits associated with the plant from the sensor data. Indexing the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.

The present disclosure describes an apparatus for identifying a refrigerant fluid contained in a tank or in a measuring cell of a system for recharging an air-conditioning plant. The apparatus includes at least one infrared source configured to emit at least radiations with a first emitting intensity at a first wavelength and a second emitting intensity at a second wavelength. A first photodetector is configured to detect a first intensity of infrared radiations at the first wavelength, and a second photodetector is configured to detect a second intensity of infrared radiations at the second wavelength. A processing unit is configured to: calculate a ratio between the first intensity detected by the first photodetector and the second intensity detected by the second photodetector; and according to the Lambert-Beer law, obtain from said ratio a physical magnitude representative of the refrigerant fluid.