The present invention discloses a system and method for grading agricultural commodity comprising a moisture sensor, a grain apparatus, a conveyor belt driven by motor, a camera to take plurality of images of the agricultural commodity uniformly distributed on the conveyor belt, a communication device for transmitting information to a processor, which processes the image to ascertain the quality parameters of the agricultural commodity and compares with the standards used for grading, a user interface for displaying the information of grading and a printer to print the information of grading. Further, the moisture sensor provides the moisture reading of a sample of agricultural commodity put through the grain apparatus. Furthermore, the parameters are analyzed using image processing technique and compared with the Standard used for grading of the agricultural commodity to ascertain the grading. Additionally, the system can be integrated or several components at different places connected through network.

A sensor system and a method for optical analysis of bulk material, having a sample space for receiving the bulk material that is to be examined, wherein a measurement section extending in the bulk material is realized in the sample space. In this case, means for changing the length of the measurement section are present. A harvester equipped, a laboratory or mobile system equipped with the system is also provided.

An automated grains inspection apparatus for a production line comprises an inlet to receive the grains and an outlet from which the grains are discharged. A feeder configured to receive the grains from the inlet and release the grains aligned in a line formation is provided while at least one camera is positioned sideway beneath the feeder to capture images of the grains while they fall. At least one background surface positioned sideway beneath the feeder and opposite the camera is also provided in an inspection zone so that the grains are configured to be aligned between the camera and the background surface.

A navigation system aids a driver of a collection vehicle in keeping pace and distance with a lead harvester while collecting grain. The navigation system can be used for any leader-follower vehicle drive formation. A navigation system steers the head vehicle based on a continuously known position and attitude. Navigation data for the lead vehicle is broadcast to a following collection vehicle. A navigation system in the following vehicle processes the lead vehicle navigation data to determine a relative position and attitude. The navigation system in the following vehicle generates steering and speed commands based on the relative position and attitude to automatically drive to a designated target position alongside the lead vehicle. In one example, an artificial oscillation is induced into the target position to more evenly distribute material in the following vehicle.

A sensor arrangement for detecting properties of a mixture including grain and contaminants in a cleaning device of a combine harvester. The sensor arrangement is equipped with a sensor element for providing an output signal in respect of a property, detected by the sensor element, of the mixture adjacent to the sensor element. The sensor element is configured to be brought operationally continuously in succession into different positions in relation to the mixture in order to sense different points of the mixture in the different positions of the sensor element.

An agricultural work management system includes: a data input unit configured to receive, from an agricultural crop harvester, harvesting position data indicating a harvesting work position as agricultural land information, harvest amount data indicating a harvest amount of the agricultural crop harvested in the agricultural land, and quality data indicating the quality thereof as agricultural crop information; a database server configured to store the agricultural land information and the agricultural crop information such that they can be associated with each other; an agricultural work evaluation unit configured to perform agricultural work evaluation on the agricultural land based on the agricultural land information and the agricultural crop information; and a data output unit configured to send out the agricultural work evaluation data generated by the agricultural work evaluation unit.

An automated grains inspection apparatus for a production line comprises an inlet to receive the grains and an outlet from which the grains are discharged. A feeder configured to receive the grains from the inlet and release the grains aligned in a line formation is provided while at least one camera is positioned sideway beneath the feeder to capture images of the grains while they fall. At least one background surface positioned sideway beneath the feeder and opposite the camera is also provided in an inspection zone so that the grains are configured to be aligned between the camera and the background surface.

A sensing system and method is provided for crop material in a harvester. The sensing system includes a conveyor auger device oriented in a substantially vertical direction and having an entrance aperture, an exit aperture located upwardly above a radially oriented sensing aperture disposed therebetween. The conveyor auger device includes a conveyor auger having a flight for moving crop material upwardly, wherein the flight has a reduced radial extension adjacent the sensing aperture. A sensor disposed at or adjacent the sensing aperture senses the essentially continuously upwardly moving crop material for determining a property thereof.

A sensor assembly for attachment underneath a screen of a combine harvester is provided with a plurality of sensor units having sensor elements, a plurality of which sensor units are arranged one behind the other within a hollow profile which extends in the longitudinal direction of the screen.

According to an example aspect of the present invention, there is provided a method comprising obtaining a sample of a lot of agricultural grain kernels, determining, from the sample, a kernel protein concentration as a first function of kernel size, determining, from the sample, a kernel mass as a second function of kernel size, determining, from the first function and the second function, a kernel protein mass as a third function of kernel size, and determining, from the second function and the third function, an effect of a sieving operation on a protein concentration of the lot of agricultural grain kernels.