Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: Commercially-available lithium metal foils have been found to have a high density of crystalline defects. When such foils are used as the anode in a secondary lithium metal battery cell, repeated cycling may lead to the formation of lithium shunts near the crystalline defects, which can cause shorting. Methods described herein may be used to reduce the density of crystalline defects in lithium metal foils. Such lithium metal can be used as the anode in lithium battery cells.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.

Abstract: A container that includes a microwave interactive web at least partially overlying and joined to a three-dimensional support, wherein the three-dimensional support may be formed prior to having the microwave interactive web mounted thereto. The three-dimensional support may be a preformed container that is sufficiently rigid and dimensionally stable for use in containing food.

Abstract: Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.

Abstract: A method for removing foreign matter from an agricultural product stream of a manufacturing process. The method includes conveying a product stream past an inspection station; scanning a region of the agricultural product stream as it passes the inspection station using at least one light source of a single or different wavelengths; generating hyperspectral images from the scanned region; determining a spectral fingerprint for the agricultural product stream from the hyperspectral images; comparing the spectral fingerprint obtained in step (c) to a spectral fingerprint database containing a plurality of fingerprints using a computer processor to determine whether foreign matter is present and, if present, generating a signal in response thereto; and removing a portion of the conveyed product stream in response to the signal. A system for detecting foreign matter within an agricultural product stream is also provided.

Abstract: Provided is a method for monitoring a manufacturing process of an agricultural product. The method utilizes hyperspectral imaging and comprises scanning at least one region along a sample of agricultural product using at least one light source of a single or different wavelengths; generating hyperspectral images from the at least one region; determining a spectral fingerprint for the sample of agricultural product from the hyperspectral images; and comparing the spectral fingerprint so obtained to a spectral fingerprint database containing a plurality of fingerprints obtained at various points of the manufacturing process, using a computer processor, to determine which point in the manufacturing process the sample has progressed to.

Abstract: A container that includes a microwave interactive web at least partially overlying and joined to a three-dimensional support, wherein the three-dimensional support may be formed prior to having the microwave interactive web mounted thereto. The three-dimensional support may be a preformed container that is sufficiently rigid and dimensionally stable for use in containing food.

Abstract: A method for removing foreign matter from an agricultural product stream of a manufacturing process. The method includes conveying a product stream past an inspection station; scanning a region of the agricultural product stream as it passes the inspection station using at least one light source of a single or different wavelengths; generating hyperspectral images from the scanned region; determining a spectral fingerprint for the agricultural product stream from the hyperspectral images; comparing the spectral fingerprint obtained in step (c) to a spectral fingerprint database containing a plurality of fingerprints using a computer processor to determine whether foreign matter is present and, if present, generating a signal in response thereto; and removing a portion of the conveyed product stream in response to the signal. A system for detecting foreign matter within a agricultural product stream is also provided.

Abstract: Provided is a method for monitoring a manufacturing process of an agricultural product. The method utilizes hyperspectral imaging and comprises scanning at least one region along a sample of agricultural product using at least one light source of a single or different wavelengths; generating hyperspectral images from the at least one region; determining a spectral fingerprint for the sample of agricultural product from the hyperspectral images; and comparing the spectral fingerprint so obtained to a spectral fingerprint database containing a plurality of fingerprints obtained at various points of the manufacturing process, using a computer processor, to determine which point in the manufacturing process the sample has progressed to.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: Provided is a method for monitoring a manufacturing process of an agricultural product. The method utilizes hyperspectral imaging and comprises scanning at least one region along a sample of agricultural product using at least one light source of a single or different wavelengths; generating hyperspectral images from the at least one region; determining a spectral fingerprint for the sample of agricultural product from the hyperspectral images; and comparing the spectral fingerprint so obtained to a spectral fingerprint database containing a plurality of fingerprints obtained at various points of the manufacturing process, using a computer processor, to determine which point in the manufacturing process the sample has progressed to.

Abstract: Provided is a method for blending of agricultural product utilizing hyperspectral imaging. At least one region along a sample of agricultural product is scanned using at least one light source of different wavelengths. Hyperspectral images are generated from the at least one region. A spectral fingerprint for the sample of agricultural product is formed from the hyperspectral images. A plurality of samples of agricultural product is blended based on the spectral fingerprints of the samples according to parameters determined by executing a blending algorithm.