Abstract: A system and method for monitoring a characteristic of a material by measuring electrical or magnetic properties of the material. The system includes a material monitoring device having at least one electrode and at least one magnetic coil, and is in communication with a machine learning model trained to recognize characteristics of the material based on electrical and magnetic properties of the material. The material can be stimulated with an electrical stimulus or stimulating magnetic field, and an electrical response signal or magnetic response signal can be measured. Applications to monitoring water quality, beverages, foodstuffs, and other characteristics of materials is discussed.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for monitoring a characteristic of a material by measuring electrical or magnetic properties of the material. The system includes a material monitoring device having at least one electrode and at least one magnetic coil, and is in communication with a machine learning model trained to recognize characteristics of the material based on electrical and magnetic properties of the material. The material can be stimulated with an electrical stimulus or stimulating magnetic field, and an electrical response signal or magnetic response signal can be measured. Applications to monitoring water quality, beverages, foodstuffs, and other characteristics of materials is discussed.

Abstract: 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.

Abstract: 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.