The present disclosure relates to a marker for identifying Korean ginseng cultivars and a method of identifying Korean ginseng cultivars using the same. Specifically, the present disclosure provides a marker for identification of Korean ginseng cultivars, which is obtained by identifying and separating an active ingredient, which is contained only in Korean ginseng cultivars, among non-saponin components. In addition, the present disclosure makes it possible to determine whether a product sold as Korean ginseng is Korean ginseng by separating and purifying the active ingredient without using a conventional molecular biological method.

A system and a method for managing and trading fresh foods according to a flavor thereof, comprising a plurality of fresh foods, an image capturing module, a processing module and a classification module. The fresh food is attached with a product label including a code and a colorimetric transducer array that comprises at least one sensing material for sensing the fresh food. The sensing material undergoes a chemical reaction with at least one metabolic molecule of the fresh food to change the sensing material from an initial color to an indication color. The image capturing module captures an image comprising an appearance of the fresh food, the code and the indication color. The processing module provides a real-time information according to a comparison result between the image and a database. The classification module receives the real-time information and classifies the fresh food according to the real-time information.

A system for mapping one or more characteristics of a body of a harvested crop stored in a storage space includes a controller; a first device assembly providing an input to the controller; and a second device assembly providing an input to the controller. The controller is configured to determine one or more characteristics of each of a plurality of portions of the body of the harvested crop, such as dry matter content, moisture content, level of contamination, and/or one or more nutrient values, prior to the deposition of each of said portions in the storage space based on at least the input from the first device assembly. The controller is configured to determine a location at which each of said portions is deposited in the storage space based on at least the input from the second device assembly. The controller is configured to store the determined one or more characteristics and the determined location of each of said portions in a database.

Disclosed herein is a multi-temperature-region ice-temperature fresh keeping storehouse and a fresh keeping method for bergamot pears that includes a precooling region, a feeding and discharging channel, a cooling region, an ice temperature detection device, a grading device, a conveyer belt control device, an automatic storage device, and a temperature rise and fall buffering channel. The cooling region includes four freezers, with temperatures ranging from 0° C.-−3° C. The four freezers are connected level by level according to a temperature reduction rule. The present disclosure implements multi-temperature-region graded storage of bergamot pears according to the value of an ice point temperature of the bergamot pears, so that they are always stored close to the ice point temperature without freezing, thereby preventing freeze injury, and prolonging shelf life.

In some embodiments, apparatuses, systems, and methods are provided herein useful to assessing products. In some embodiments, an enclosure for use in assessing products comprises a housing including a door configured to allow placement of a product within the housing, a product holding surface located within the housing allowing pictures to be taken through the product holding surface and configured to support the product, a first image capture device configured to capture an image of the product from a first perspective, a second image capture device configured to capture an image of the product from a second perspective, and wherein the image of the product from the second perspective is captured through the product holding surface, and a lighting element, wherein the lighting element is located within the housing, and wherein the lighting element is configured to provide lighting within the housing.

A method of automatically orienting symmetric and asymmetric food items, such as apples for example, is provided. Individual items of food are manipulated by a programmable manipulator within the view of one or more depth imaging cameras. Digital three dimensional characterizations of the surface of the food items are generated by the depth imaging camera or cameras and are utilized by a computer connected to the depth imaging camera or cameras to locate the stem and blossom of each food item. Asymmetric food items, such as apples with dropped shoulders as well as symmetric food items can be properly oriented and processed automatically.

A method implemented by a computer processing circuit connected to an electronic nose, for identifying a given item by an olfactory signature, the method making use of the electronic nose to obtain an olfactory signature, repeating the use of the electronic nose a first number K of times in order to acquire K olfactory signatures, making use of the computer processing circuit in order to estimate, on the basis of the K olfactory signatures, a model of the olfactory signature of the given item, acquiring, with an electronic nose of the same type, a current measurement of the olfactory signature of a current item of the same type as the given item, and comparing the current measurement to the model, in order to estimate a similarity (SIM) between the current item and the given item.

An information processing system includes a storage, an interface device, and a computing circuit. The storage stores a database, in which spectrum data concerning light from a light source and a measurement condition data at a time of measurement of the light are associated with a plant status data concerning growth of a plant and/or a harvest data concerning a harvest of the plant. The interface device receives an input of a user measurement condition which is to be applied at a time of measurement of the plant by a user and which includes data concerning angles at the time of measurement and data concerning a plant status and/or a harvest to be predicted. The computing circuit determines at least two wavelengths contained in the light from the light source to be measured under the user measurement condition by referring to the database based on the user measurement condition.

A food tester including at least one of, a test strip, a food wrapper, a food box or carton, and a cooking or eating utensil. A food grade testing composition disposed in at least one of said test strip, food wrapper, food box or carton, and cooking or eating utensil. Wherein said food tester is configured to change colors, including but not limited to, a green color if at least one of plant cell walls, plastids, and large central vacuoles is present and wherein said food tester is configured to change colors, including but not limited to, green color to a red color if at least one of said plant cell walls, plastids, and large central vacuole is absent.

Embodiments include systems for determining one or more properties of an object. In an embodiment, a system includes a gripping element, a light source, a probe element including an optical fiber, a spectrometer, and a processor. The gripping element is configured to grasp the object. The light source is configured to illuminate the object. The probe element is operatively coupled to the gripping element. The optical fiber is configured to transmit reflected light from the object. The spectrometer configured to: (i) receive the transmitted reflected light from the optical fiber and (ii) generate spectral data based on the received transmitted reflected light. The processor is configured to: (i) receive the generated spectral data from the spectrometer and (ii) determine one or more properties of the object based on the received generated spectral data.