A harvesting vehicle including a cleaning section including a blower and at least one sieve. The sieve is configured to transport a layer comprising a mixture of grain kernels and residue material towards an exit edge of the sieve so that kernels fall through openings of the sieve and the residue remains on the sieve until it is ejected from the sieve by crossing the exit edge. The sieve may be subject to a grain loss, including a sieve-off loss and a blowout loss. The cleaning section further includes a sensor configured to determine whether the blowout loss or the sieve-off loss is a highest contributor to the grain loss. The cleaning section may also include a grain loss detector configured to measure the sieve-off loss and at least a portion of the blowout loss and a blowout sensor mounted above the sieve for measuring the blowout loss.

A method for controlling crop material speed through a rotor/cage assembly of an agricultural combine. The method includes the steps of monitoring a grain loss of the combine; computing an engine power reserve value; and adjusting an orientation of a vane coupled to the cage responsive to the engine power reserve value and to the grain loss, a cleaning system load and/or a straw length.

A harvesting machine capable of automatic adjustment, comprising a plurality of acoustic material flow sensors, a control system, a processor, and application software, wherein the plurality of acoustic material flow sensors are mounted internal to the harvesting machine at points of crop material flow and are capable of sensing an amount of crop material passing by them. The control system operates in a cause-and-affect mode for interactively enabling manual or automatic responses to Mass Material Distribution (MMD) information and equipment-related performance parameters. An interactive combine control method is also provided.

A crop quality sensor, comprising an illumination source, an imaging device, and a processor executing application software. The illumination source is shone onto a crop sample, and an image is taken with the imaging device of the illuminated crop sample. The software executing on the processor is used to analyze the image to identify the outlines of individual kernels and to identify which of those outlines contain a specular highlight, indicative that the kernel is whole and unbroken, while the absence of such a specular highlight is indicative of a broken kernel.

A combine harvester has a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system for controlling the threshing unit which has a memory for storing data and a computing unit for processing the data stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of at least one threshing-unit parameter on a basis of the system model and, for depicting functional interrelationships, at least one family of characteristics (A-J) is assigned to at least one harvesting-process parameter. The at least one harvesting-process parameter is defined as an output variable of the at least one family of characteristics (A-J).

A combine harvester has a threshing unit for threshing picked-up crop to obtain grain and a driver assistance system for controlling the threshing unit. The driver assistance system includes a memory for storing data and a computing unit for processing the data stored in the memory. The threshing unit, together with the driver assistance system, forms an automated threshing unit, in that a plurality of selectable harvesting-process strategies is stored in the memory and in that, in order to implement the particular selected harvesting-process strategy, the computing device autonomously determines at least one machine parameter, for example, a threshing-unit parameter, and specifies the parameter to the threshing unit.

Systems and methods for controlling agricultural headers based on crop movement relative to a portion of the agricultural header are disclosed. The presence or movement of crop material, such as a crop material representing grain (e.g., ears, heads, or pods of crops (“EHP”)), relative to the harvester header or a portion of the harvester header may be detected, such as by analyzing image data representing one or more images collected over time. Based on a position or movement or both of the crop material relative to the header, one or more parameters of the harvester header may be adjusted, for example, to reduce an amount of grain loss.

An agricultural combine having at least one loss sensor associated with a threshing and separating system, a processing device, and a user interface. The processor is configured to collect geographical position readings, operating parameter settings, and loss data readings. The operating parameter settings and loss data readings are associated with the position readings. The processor generates a display at the user interface illustrating a geographical map including at least a portion of the plurality of position readings. The geographical map graphically indicates each loss data reading associated with each position reading illustrated on the geographical map at that position reading's respective location on the geographical map. A system and method for evaluating the performance of an agricultural combine are also provided.

A combine harvester separates crop into straw and chaff and weed seeds using a sieve, a chopping rotor with a spreading device and at least one weed seed devitalization section. The components can be operated in a first mode where both the first material and said second material are directed to the chopper and a second mode the first material is directed to the chopper inlet and the second material is directed to the WSD. This can be effected by providing a guide wall which has a leading edge attached adjacent a rear edge of the sieve and extends rearwardly therefrom. The chopper and the WSD can also be moved to provide the change of modes. A construction of destructor mill with an outer stator on the housing is also disclosed along with a method of feeding the lost grain to the WSD.

Embodiments of a kernel-level grain monitoring system include a grain camera positioned to capture bulk grain sample images of a currently-harvested grain taken into and processed by a combine harvester, a moisture sensor, and a display device. A controller architecture is coupled to the grain camera, to the moisture sensor, and to the display device. The controller architecture is configured to: (i) analyze the bulk grain sample images, as received from the grain camera, to determine an average per kernel (APK) volume representing an estimated volume of a single average kernel of the currently-harvested grain; (ii) repeatedly calculate one or more topline harvesting parameters based, at least in part, on the determined APK volume and the moisture sensor data; and (iii) selectively present the topline harvesting parameters on the display device for viewing by an operator of the combine harvester.