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.

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.

The present invention is to identify the type of the farm product in a view through the wearable terminal and display the expected harvest time on the display of a wearable terminal in augmented reality. The system for displaying the harvest time of a farm product on the display of a wearable terminal, includes: an image acquisition unit that acquires the image of a farm product in a view through the wearable terminal; an identification unit that analyzes the image and identifies the type of the farm product; a selection unit that selects a determination criterion according to the type; a determination unit that analyzes the image based on the determination criterion and determines the color and the size; an estimation unit that estimates the harvest time of the farm product based on the determination result; and a harvest time display unit that displays the estimated harvest time of the farm product seen through the display of the wearable terminal thereon in augmented reality.

The present invention is to identify the type of the farm product in a view through the wearable terminal and display the expected harvest time on the display of a wearable terminal in augmented reality. The system for displaying the harvest time of a farm product on the display of a wearable terminal, includes: an image acquisition unit that acquires the image of a farm product in a view through the wearable terminal; an identification unit that analyzes the image and identifies the type of the farm product; a selection unit that selects a determination criterion according to the type; a determination unit that analyzes the image based on the determination criterion and determines the color and the size; an estimation unit that estimates the harvest time of the farm product based on the determination result; and a harvest time display unit that displays the estimated harvest time of the farm product seen through the display of the wearable terminal thereon in augmented reality.

A harvester monitoring system configured to determine one or more parameters associated with harvested items, the system comprising: a camera module having a field of view and configured to generate image data associated with the harvested items; a mounting bracket configured to secure the camera module to a harvester such that a conveyor of the harvester is within the field of view of the camera module; a location sub-system configured to determine and output location data representative of a geographical location of the harvester monitoring system; and a processing unit configured to receive the image data and the location data, to determine one or more parameters associated with the harvested items, and to record the one or more parameters in association with the location data on a computer readable medium.

A harvester monitoring system configured to determine one or more parameters associated with harvested items, the system comprising: a camera module having a field of view and configured to generate image data associated with the harvested items; a mounting bracket configured to secure the camera module to a harvester such that a conveyor of the harvester is within the field of view of the camera module; a location sub-system configured to determine and output location data representative of a geographical location of the harvester monitoring system; and a processing unit configured to receive the image data and the location data, to determine one or more parameters associated with the harvested items, and to record the one or more parameters in association with the location data on a computer readable medium.

A combine including an engine for propelling the combine, a feeder housing for receiving cut crop, a separating system for threshing the cut crop to produce grain and residue, a residue chopper for chopping the residue, and a controller. The controller is configured to estimate risk factors that correlate to a risk of fire in the engine due to airborne particles created by at least one of the cut crop, the separating system or the residue chopper, estimate a fire risk based on the risk factors, and implement corrective action based on the estimated fire risk.

A combine including an engine for propelling the combine, a feeder housing for receiving cut crop, a separating system for threshing the cut crop to produce grain and residue, a residue chopper for chopping the residue, and a controller. The controller is configured to estimate risk factors that correlate to a risk of fire in the engine due to airborne particles created by at least one of the cut crop, the separating system or the residue chopper, estimate a fire risk based on the risk factors, and implement corrective action based on the estimated fire risk.

In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.

The present invention is to identify the type of the farm product in a view through the wearable terminal and display the expected harvest time on the display of a wearable terminal in augmented reality. The system for displaying the harvest time of a farm product on the display of a wearable terminal, includes: an image acquisition unit that acquires the image of a farm product in a view through the wearable terminal; an identification unit that analyzes the image and identifies the type of the farm product; a selection unit that selects a determination criterion according to the type; a determination unit that analyzes the image based on the determination criterion and determines the color and the size; an estimation unit that estimates the harvest time of the farm product based on the determination result; and a harvest time display unit that displays the estimated harvest time of the farm product seen through the display of the wearable terminal thereon in augmented reality.