Kubota Corporation

Mao Kitahara

Kazuhiro Takahara

Naoki Saito

Takashi Nakabayashi

Mitsuhiro Seki

Sotaro Hayashi

Masayuki Horiuchi

Kyosuke Yamaoka

Ryuzo Fujita

Shoma Deguchi

Sadanori Hida

A field map generating system includes: a crop data obtaining unit that obtains crop data over time; a position information obtaining unit that obtains position information, indicating a harvesting position of the crop, over time; polygon constructing units that construct a polygon on the basis of a work width and speed of a harvester, for each piece of crop data obtained by the crop data obtaining unit; data assigning units that assign crop data or crop information based on the crop data to the constructed polygons; a position information assigning unit that assigns position information to the constructed polygons; and field map generating units that generate a field polygon map, which is an aggregate of the polygons, by aggregating the polygons.

Field map generating system

A harvesting machine includes a harvesting part provided forward of a machine body, and harvests crops in a farm field; and a plurality of crop sensors provided in the harvesting part at intervals in a left-right direction, and detect the presence of crops upon coming into contact with the crops. The harvesting machine may also include a harvesting width detector that detects a harvesting width corresponding to crops harvested through harvesting work that has actually been performed, included in a workable width within which harvesting work can be performed by the harvesting part; and a travel transmission unit that changes the travel speed of the machine body. The harvesting machine may also include a speed controller that shifts the travel transmission unit to a lower speed as the harvesting width increases, and shifts the travel transmission unit to a higher speed as the harvesting width decreases.

Harvesting machine with crop detection and harvesting width detection

Need exists for information management technique that allows utilization of collapsed grain culms detection for a future farming plan. A combine includes a machine body position calculation section for calculating a machine body position comprising map coordinates of a machine body, an image capturing section configured to image-capture a field at time of a harvesting work, an image recognition module configured to input image data of captured images acquired by the image capturing section and to estimate a collapsed grain culm area in the captured images and then to output recognition output data indicative of the estimated collapsed grain culm area, an evaluation module configured to output a produce evaluation value per unit traveling acquired by evaluating the agricultural produces that are harvested sequentially, a collapsed grain culm position information generation section configured to generate collapsed grain culm position information indicative of a position of the collapsed grain culm area on a map, based on the machine body position and the recognition output data and a harvest information generation section configured to generate harvest information from the machine body position at the time of harvest of the agricultural produces and the produce evaluation value.

Combine, method of generating field farming map, program for generating the field farming map and storage medium recording the field farming map generating program

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Sakai, Japan

Mao Kitahara