A method for determining and/or monitoring a concentration of maltodextrin and/or maltose in a mashing process comprises method steps as follows: providing a mash, heating the mash to at least one predeterminable temperature, determining the density of the mash determining the velocity of sound in the mash, ascertaining a concentration of maltodextrin and maltose in the mash, and ascertaining the concentration of maltodextrin and/or maltose in the mash.

A monitoring system for monitoring a process includes a housing with a viewing panel. The viewing panel includes a view port. An emitter generates light and illuminates an observation zone of the process. A detector is disposed within the housing and is configured to detect light entering the housing through the view port and create a plurality of images of the process in the observation zone. A thermal regulation system is configured to generate heat in the vicinity of the viewing panel of the housing so as to increase the temperature of at least the view port above ambient temperature.

A plug for a container for storing liquid includes a housing having a longitudinal axis. A first sensor bank is arranged vertically in the housing along the longitudinal axis, the first sensor bank comprising a first printed circuit board (PCB) and a first sensor mounted on the first PCB. A first sensor chamber is inside the housing, the first sensor chamber having a first lateral side comprising the first PCB and a second lateral side comprising a second PCB or an interior wall of the housing. The plug also includes an input end of the housing and a first flow pathway between the input end and the first sensor chamber.

A system for monitoring the characteristics of a material by measuring electrical properties of a material uses a material monitoring device and a cloud database that relates electrical properties of a material to characteristics of that material. The aging and fermentation processes of wine and other alcohols can be monitored. The status and decomposition of foodstuffs can be monitored. The progress of chemical reactions in a vessel can be monitored. Water quality of water from a water conduit can be monitored. These characteristics can be indicated on a product monitoring device or can be communicated to an external computing device.

Some embodiments of the present disclosure relate to systems and methods including generating, by infrared spectroscopy, spectra data identifying quantities and associated wavelengths of radiation absorption for each of a plurality of wine samples as determined by the infrared spectroscopy; converting the spectra data for each wine sample to a set of discretized data; transforming the discretized data into a visual image representation of each respective wine sample, the visual image representation of each wine sample being an optically recognizable representation of the corresponding converted set of discretized data; and storing a record including the visual image representation of each wine sample in a memory.

Some embodiments of the present disclosure relate to systems and methods including acquiring an image including an indication of at least one wine; identifying, by optical character recognition, the at least one wine in the acquired image; correlating each of the identified at least one wines to a visual image representation of each wine; and executing a trained computer vision classification system using the visual image representation of each of the identified wines and labeled visual image representations of at least one wine associated with a user flavor profile including at least one classification as inputs to generate an output including, for each of the identified wines, an indication of whether the identified wine corresponds to the at least one classification associated with the user flavor profile.

Aspects of a monitoring system for winemaking are provided.

Embodiments of the present invention relate to a platform for controlling production and distribution of consumable items based on machine learning processes derived from chemical profiles of the consumable items.

A method of use encompassing coded sampling containers that may be implemented in two phases, the results of which may be further processed to arrive at a final score. The first phase incorporates four sampling containers in the context of a series of triangle tests to arrive at a first subscore. The second phase uses two of the coded containers and requires the participants to assess the degree to which the contents of the containers reflect a particular characteristic on a scale. The responses of each participant may be scored by summing the differences between the actual answers and the correct answers to arrive as a second subscore. A final score may be calculated by subtracting the first subscore from the second subscore.

A product quality analysis and control system is provided. The product quality analysis and control system includes a processing system that is configured to receive data of objective qualities of a product from multiple data gathering modules. Each of the multiple data gathering modules is respectively positioned at corresponding nodes of a supply chain and is configured to receive from sensors data of objective qualities of a product when the product is at each of the corresponding nodes. The processing system includes a model repository and a data evaluation module. The data evaluation module is configured to select, from the model repository, a model associated with a type of the product and to use the model to analyze the data to identify changes in the objective qualities along the supply chain.