A harvester travels along a route within a field and selectively harvests edible crowns ready for harvesting. As the harvester travels along the route, a position of the harvester and/or the edible crowns may be determined using an encoder, imaging device(s), and/or navigational system(s). For example, image(s) captured by the imaging device(s) may be used to determine a location of the edible crowns and/or global positioning satellite (GPS) coordinates may indicate a location of the harvester within the field. These locations may be used for instructing harvesting components to harvest the edible crowns. For example, the harvester may include robotic arms having end effectors that harvest the edible crowns. Knowing the location of the edible crowns and/or the harvester therefore allows for the accurate placement of the end effectors for harvesting the edible crowns.

A harvester travels along a route within a field and selectively harvests edible crowns ready for harvesting. As the harvester travels along the route, a position of the harvester and/or the edible crowns may be determined using an encoder, imaging device(s), and/or navigational system(s). For example, image(s) captured by the imaging device(s) may be used to determine a location of the edible crowns and/or global positioning satellite (GPS) coordinates may indicate a location of the harvester within the field. These locations may be used for instructing harvesting components to harvest the edible crowns. For example, the harvester may include robotic arms having end effectors that harvest the edible crowns. Knowing the location of the edible crowns and/or the harvester therefore allows for the accurate placement of the end effectors for harvesting the edible crowns.

Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate targets such as agriculture. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the harvesting subcomponent includes vacuum features which gently attach to target agriculture to secure it. In some examples, the harvesting subcomponent includes padded spoons to grasp and remove the target agriculture from the foliage.

Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate targets such as agriculture. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the harvesting subcomponent includes vacuum features which gently attach to target agriculture to secure it. In some examples, the harvesting subcomponent includes padded spoons to grasp and remove the target agriculture from the foliage.

Systems, and methods for harvesting a fruit.

Systems, and methods for harvesting a fruit.

In general terms, the present invention provides a storage system for a fruit or vegetable picking system, in which picked fruit or vegetables are delivered to a fixed filling location of the storage system, and then moved, by a robotic handling mechanism of the storage system, to one of many container locations where filled containers (punnets) are temporarily stored.

In general terms, the present invention provides a storage system for a fruit or vegetable picking system, in which picked fruit or vegetables are delivered to a fixed filling location of the storage system, and then moved, by a robotic handling mechanism of the storage system, to one of many container locations where filled containers (punnets) are temporarily stored.

A processor may receive an image of the collection of material having a plurality of objects. The processor may identify the anomaly from the plurality of objects. The processor may generate a bounding box for the anomaly. The processor may generate one or more picking points on the anomaly. The one or more picking points may be configured on at least one balance points of the anomaly. The processor may remove the anomaly from the collection of material via the one or more picking points.

A processor may receive an image of the collection of material having a plurality of objects. The processor may identify the anomaly from the plurality of objects. The processor may generate a bounding box for the anomaly. The processor may generate one or more picking points on the anomaly. The one or more picking points may be configured on at least one balance points of the anomaly. The processor may remove the anomaly from the collection of material via the one or more picking points.