Patent classifications
A01G7/00
Lighting system for plants
A method for encouraging maturation and growth of a plant includes a provision of at least one stroboscopic lamp disposed adjacent the plant. The stroboscopic lamp is cycled through at least one on-period and at least one off-period for a predetermined cycling time. The plant is exposed to strobed high-intensity light during the at least one on-period, and not exposed to strobed high-intensity light during the at least one off-period. A maturation rate and the growth of the plant are thereby encouraged. A related system includes the at least one stroboscopic lamp and a controller for controlling the stroboscopic lamp according to the method, for encouraging maturation and growth of the plant.
Method for enhancing growth and useful substances of leafy vegetables by using environmental stress
The present invention relates to a method for enhancing growth and useful substances of leafy vegetables by using environmental stress. The environmental stress may include a low temperature stress, a light stress, and a combination thereof.
METHOD, SYSTEM, AND MEDIUM HAVING STORED THEREON INSTRUCTIONS THAT CAUSE A PROCESSOR TO EXECUTE A METHOD FOR OBTAINING IMAGE INFORMATION OF AN ORGANISM COMPRISING A SET OF OPTICAL DATA
The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of : (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.
METHOD, SYSTEM, AND MEDIUM HAVING STORED THEREON INSTRUCTIONS THAT CAUSE A PROCESSOR TO EXECUTE A METHOD FOR OBTAINING IMAGE INFORMATION OF AN ORGANISM COMPRISING A SET OF OPTICAL DATA
The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of : (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.
HOST-FREE 'CANDIDATUS LIBERIBACTER ASIATICUS' CULTURE
The invention relates to compositions comprising Candidatus Liberibacter. The invention includes growth mediums, microbial cultures, methods, assays, and kits related to the compositions comprising Candidatus Liberibacter.
Vegetation effect calculation device, vegetation effect calculation system, and storage medium storing vegetation effect calculation program
A vegetation effect calculation device includes: a memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a moisture content of a slope, a relational expression between the moisture content and an adhesion of soil in the slope, and a vegetation adhesion that is an adhesion of vegetation abundantly growing in the slope; calculate a correction value, using the acquired moisture content of the slope, and the acquired relational expression between the moisture content and the adhesion of the soil; and calculate a corrected vegetation adhesion, using the acquired vegetation adhesion, and the calculated correction value.
Vegetation effect calculation device, vegetation effect calculation system, and storage medium storing vegetation effect calculation program
A vegetation effect calculation device includes: a memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a moisture content of a slope, a relational expression between the moisture content and an adhesion of soil in the slope, and a vegetation adhesion that is an adhesion of vegetation abundantly growing in the slope; calculate a correction value, using the acquired moisture content of the slope, and the acquired relational expression between the moisture content and the adhesion of the soil; and calculate a corrected vegetation adhesion, using the acquired vegetation adhesion, and the calculated correction value.
System for detection and analysis of fibrous root system architecture of plant
Provided is a system for detection and analysis of a fibrous root system architecture of a plant, including a plant pot having at least one slit area extending through a cross section in an axial direction, at least one laser measuring unit, and a data analyzing unit, where each laser measuring unit has a laser transmitter and a receiver disposed corresponding to the slit area in such a manner that a laser beam emitted from the laser transmitter to the receiver goes across the cross section of the plant pot; measurement on all roots in the slit area is realized by a rotating stage, and the laser measuring unit swinging horizontally around the laser transmitter within a predetermined angle range; and the data analyzing unit is configured to perform statistical analysis on the roots of a plant to be measured according to laser measuring results.
DIAGNOSTIC ASSISTANCE SYSTEM AND METHOD THEREFOR
The present invention makes an efficient diagnosis of an object. A general server 3 of a diagnostic assistance system 1 provides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI server 5 of the diagnostic assistance system 1 creates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.
Decontamination procedure using a biofilter to retain and recycle particulate matter from combustion fumes
A fume decontamination system connected to any combustion system which comprises seven devices interconnected sequentially in the following manner: an extraction device is first connected to the combustion system and then connected by the other end to a guiding device which, in turn, is connected to a cooling device. Once cooled, the combustion gases are channeled to a suction device in which the gases are driven under pressure to an induction device which, in turn, concentrates the gases and directs same to the injection plenum, the concentrated, cooled gases being distributed at constant volumes to the entire biological plant filtering device and its decontamination procedure.