A combine harvester has a driving shoe arrangement. The driving shoe includes a preparation pan and one or more sieves, coupled to a drive mechanism for driving a reciprocating movement of the pan and sieves. The stroke of the reciprocating movement of the pan and/or sieves is adjustable, through the application of a drive mechanism including one or more pivotably mounted support arms for supporting the pan or sieve, and a drive arm connected to one of the support arms through an adjustable connection link. The adjustable connection link can be a variable length actuator whose length determines the stroke of the pan or sieve. The stroke of the pan or sieve can be adjusted during a harvesting run, thereby allowing a fast adjustment to changing external conditions such as the slope of the terrain.

A combine harvester has a driving shoe arrangement. The driving shoe includes a preparation pan and one or more sieves, coupled to a drive mechanism for driving a reciprocating movement of the pan and sieves. The stroke of the reciprocating movement of the pan and/or sieves is adjustable, through the application of a drive mechanism including one or more pivotably mounted support arms for supporting the pan or sieve, and a drive arm connected to one of the support arms through an adjustable connection link. The adjustable connection link can be a variable length actuator whose length determines the stroke of the pan or sieve. The stroke of the pan or sieve can be adjusted during a harvesting run, thereby allowing a fast adjustment to changing external conditions such as the slope of the terrain.

A combine having a feeder housing for receiving harvested crop, a separating system for threshing the harvested crop to separate grain from residue, a residue spreader wheel spinning for expelling the residue from the combine, and a controller that controls the combine. The controller is configured to control the residue spreader wheel to continuously oscillate between a first speed less than a nominal speed and a second speed greater than the nominal speed while spreading the residue.

A combine having a feeder housing for receiving harvested crop, a separating system for threshing the harvested crop to separate grain from residue, a residue spreader wheel spinning for expelling the residue from the combine, and a controller that controls the combine. The controller is configured to control the residue spreader wheel to continuously oscillate between a first speed less than a nominal speed and a second speed greater than the nominal speed while spreading the residue.

A system and method for conveying agricultural material in a harvester. One harvester includes a rotor which rotates to separate a plant into a first agricultural material and a second agricultural material. A grate is disposed vertically below the rotor and further separates the first and second agricultural materials from one another. A first conveyor receives the first and second agricultural material directly from a trailing end of the rotor and a trailing end of the grate.

A system and method for conveying agricultural material in a harvester. One harvester includes a rotor which rotates to separate a plant into a first agricultural material and a second agricultural material. A grate is disposed vertically below the rotor and further separates the first and second agricultural materials from one another. A first conveyor receives the first and second agricultural material directly from a trailing end of the rotor and a trailing end of the grate.

A monitoring system for a combine harvester. The monitoring system includes a sensor configured to provide a measurement wave to a flow of crop residue on the harvester and to receive a response wave from the flow of crop residue. The monitoring system further includes a processor having an input terminal for receiving a response signal of the sensor representative of the response wave. The processor is configured to determine a crop parameter associated with the density of the flow of crop based on the response signal of the sensor. The processor further has an output terminal for outputting a density signal representing the crop parameter.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.