Various apparatus and associated methods involve a light source that provides light at wavelengths that substantially correlate to local maxima in the spectral sensitivity of a diurnal avian. In an illustrative example, the light source may output light primarily in wavelength bands that are not substantially absorbed by colored oil droplets and/or visual pigment in at least one type of cone in the eye of a diurnal avian. In some embodiments, the light source may include a light-emitting diode (LED) light source. Exemplary light sources may output spectral components to illuminate diurnal avians with local maxima of intensity at wavelengths that substantially correspond to local maxima in a spectral sensitivity visual response characteristic of the diurnal avians.

Light Sources Adapted to Spectral Sensitivity of Diurnal Avians and Humans

The invention discloses an on-line automatic detection and sorting equipment and method for incubated egg quality, relating to the technical field of egg detection. The on-line automatic detection and sorting equipment comprises an egg conveying device (100), an egg candling device (200), an egg sucking device (300), an egg discharge device (400), a sensing module (500), a vision module (600), a control module (700) and an execution module (800); and the egg conveying device (100), the egg candling device (200), the egg sucking device (300) and the egg discharge device (400) are sequentially connected. Intelligent and nondestructive detection and automatic sorting of the qualities of the whole tray of incubated eggs are realized by coordination of a computer vision technology and a machinery execution mechanism and a series of image processing and mode identification. The on-line automatic detection and sorting equipment disclosed by the invention is reasonable and feasible in design,simple and convenient in operation and obvious in effect, is suitable for egg hatching and quality detection industries, can also be applied to detection of other agricultural products, and has good application and popularization prospects.

On-line automatic detection and sorting equipment and method for incubated egg quality

A control system for illuminating swine having one or more controllers configured to increase voltage supplied to a first plurality of lights to a first threshold voltage to illuminate the first plurality of lights to provide a first light having a first color characteristic that affects swine. The one or more controllers are also configured to increase the voltage supplied to a second plurality of lights to a second threshold voltage to illuminate the second plurality of lights to provide a second light with a second color characteristic different than the first color characteristic. The one or more controllers are also configured to increase the voltage supplied to a third plurality of lights to a third threshold voltage to illuminate the third plurality of lights to provide third light with a third color characteristic that stimulates the swine to have a predetermined behavior.

System and method of illuminating livestock

A hatching egg inspection apparatus includes a loader unit, an inspection unit for determining the viability or the like as to whether a hatching egg is an unfertilized egg or a growth-stopping egg, a rejection unit for rejecting a hatching egg determined to be an unfertilized egg or the like, and an unloader unit for sending a hatching egg toward the next step. The inspection unit is provided with a light emitting unit for emitting prescribed light toward the hatching egg, a cap attachment unit through which the light having been emitted to the hatching egg and having transmitted through the hatching egg passes, and a light receiving unit for receiving the light that has passed through the cap attachment unit. The cap attachment unit includes a cylindrical cap coming into contact with the hatching egg, and a plate to which the cap is attached.

Hatching egg inspection apparatus

The invention relates to the field of detection of eggshell strength, in particular to an on-line quick nondestructive detection method and an on-line quick nondestructive detection device for eggshell strength based on knocking response signal analysis. The device consists of an egg knocking response signal acquisition and processing hardware system and a signal analysis software system; and an egg is placed on a supporting roller and rolls and advances together with a high-speed running and horizontal conveying production line, four rails on a conveyor belt bracket finish mechanical knocking on the detected egg, a permanent electromagnet drives a knocking bar to execute the knocking command so as to realize mechanical knocking on the detected egg when the egg passes through every knocking rail, the response signals are acquired by a microphone and processed and analyzed by a digital signal processor (DSP) system, and on-line detection results of the eggshell strength are acquired through a standard library model. The eggshell knocking response signals can be comprehensively acquired and analyzed, automatic and quick detection and grading of the eggshell strength are realized, and automatic detection in the production processing and circulation processes of the eggs is quickened.

On-line nondestructive detection method and device for eggshell strength

The invention relates to a device and a method for detecting hatching egg incubation quality based on computer vision, belonging to the technical field of agricultural product detection. The device comprises a CCD camera, an optical chamber, an object stage, a light source, an image acquisition card and a computer. The method comprises the following steps: adopting the CCD camera to acquire a perspective image of an egg, and then transmitting the image into the computer through the image acquisition card; processing the image to extract a color feature parameter; and discriminating whether the egg is fertilized or not according to a Bayes discrimination model for egg incubation quality. The invention detects the hatching egg incubation quality by applying a computer vision method and can reduce the labor intensity and the interferences of artificial subjective factors and obtain a more objective and accurate result. Proved by experiments, when the method is used for detecting the hatching egg incubation quality, the detection accuracy on the sixth day of a white-shell hatching egg reaches 100 percent, and the accuracy for verifying the model reaches 100 percent; the detection accuracy on the sixth day of a brown-shell hatching egg reaches 97.1 percent, and the accuracy for verifying the model reaches 100 percent.

Device and method for detecting hatching egg incubation quality based on computer vision

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Device and method for detecting hatching egg incubation quality based on computer vision