Disclosed herein is a method of assessing rheology characteristics of vital wheat gluten to determine how to improve the quality of VWG product and the choice of VWG for a particular product.

Disclosed herein is a method of assessing rheology characteristics of vital wheat gluten to determine how to improve the quality of VWG product and the choice of VWG for a particular product.

A method for analyzing the composition of a grain-MOG mixture comprising a kernel fraction and an MOG-fraction. The method includes steps of receiving a grain-MOG mixture, at a thermal excitation location, subjecting a sample volume of the grain-MOG mixture to a thermal excitation using a thermal excitator, generating a thermal image at an imaging location of at least a surface of the sample volume of the grain-MOG mixture that has been subjected to the thermal excitation, processing the thermal image and therewith obtaining data representing the temperature distribution over the thermal image, and relating the temperature distribution to the share of the kernel fraction in the grain-MOG mixture. A device for analyzing the composition of a grain-MOG mixture comprising a kernel fraction and an MOG-fraction is also provided.

A method for analyzing the composition of a grain-MOG mixture comprising a kernel fraction and an MOG-fraction. The method includes steps of receiving a grain-MOG mixture, at a thermal excitation location, subjecting a sample volume of the grain-MOG mixture to a thermal excitation using a thermal excitator, generating a thermal image at an imaging location of at least a surface of the sample volume of the grain-MOG mixture that has been subjected to the thermal excitation, processing the thermal image and therewith obtaining data representing the temperature distribution over the thermal image, and relating the temperature distribution to the share of the kernel fraction in the grain-MOG mixture. A device for analyzing the composition of a grain-MOG mixture comprising a kernel fraction and an MOG-fraction is also provided.

Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areasfor example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Disclosed herein is a method of assessing rheology characteristics of vital wheat gluten to determine how to improve the quality of VWG product and the choice of VWG for a particular product.

Disclosed herein is a method of assessing rheology characteristics of vital wheat gluten to determine how to improve the quality of VWG product and the choice of VWG for a particular product.

A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.