A method for growing plants includes both a seeder and a harvester both of which include arrangements for singulating the seeds and for measuring parameters of the seeds while singulated. This can be used for seeding selected seeds and for harvesting particular plants. The system operates by correlating information from the individual seeded seeds and from the harvested seeds in respect of a particular location on the growth medium and may include information relating the growth medium at the location. The location can be determined by seeding the plants in patterns which can be detected by a reader on the harvester. The system can be used to control selection of seeds to take into account soil conditions at the plant.

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.

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

A method for measuring at least one of a mass-specific or size-specific variable of grain crops, the method comprising the following steps: recording a spectrum of the grain crops with a sensor operating in the near-infrared range; and deriving the at least one of mass-specific or size-specific variable from the spectrum.

An agricultural work machine for performing an agricultural work process is disclosed. The agricultural work machine includes working units and a driver assistance system for controlling the working units to achieve one or more quality criteria. The driver assistance system may set parameters to control the working units in order to satisfy the criteria. Further, the driver assistance system includes a graphical user interface through which an operator may change the setting of one of the quality criteria. Responsive to the change, the driver assistance system may determine the expected effects on other quality criteria. In addition, the driver assistance system may visually highlight the expected effects on the graphical user interface.

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.

Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. The post-processing server may process the geodetic position data for errors which may be used for geo-referencing the fused data.

A method for growing plants includes both a seeder and a harvester both of which include arrangements for singulating the seeds and for measuring parameters of the seeds while singulated. This can be used for seeding selected seeds and for harvesting particular plants. The system operates by correlating information from the individual seeded seeds and from the harvested seeds in respect of a particular location on the growth medium and may include information relating the growth medium at the location. The location can be determined by seeding the plants in patterns which can be detected by a reader on the harvester. The system can be used to control selection of seeds to take into account soil conditions at the plant.

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.

A grain management system includes a combine and a management server. The combine includes a grain measurer for outputting a measured value related to a component of harvested grains supplied to a grain tank, and a data transmitter for transmitting the measured value and field identification information for specifying the field to the management server via a communication line. The management server includes a receiver for receiving the field identification information and the measured value from the combine, a table manager for determining a measured value-grain component value table for deriving a grain component value using the measured value based on the field identification information, and a grain component value computer for obtaining the grain component value based on the measured value, using the measured value-grain component value table that is determined by the table manager.