An apparatus (1) for harvesting crops, the apparatus (1) comprises a carriage (2), sensing means (3), a ground motion sensor (6) and a harvesting device (4), where the sensing means (3) is configured or configurable to determine the location of a first crop, the ground motion sensor (6) is operated or operable to determine the motion of the carriage (2) relative to the ground, the location data and the motion data being utilized to cause the harvesting device (4) to move to and harvest the first crop.

An apparatus (1) for harvesting crops, the apparatus (1) comprises a carriage (2), sensing means (3), a ground motion sensor (6) and a harvesting device (4), where the sensing means (3) is configured or configurable to determine the location of a first crop, the ground motion sensor (6) is operated or operable to determine the motion of the carriage (2) relative to the ground, the location data and the motion data being utilized to cause the harvesting device (4) to move to and harvest the first crop.

A harvesting method is performed by a harvesting device. The harvesting device includes an upper harvest ring having an upper through hole through which a fruit can be passed, and a lower harvest ring disposed below the upper harvest ring and having a lower through hole through which the fruit can be passed. The harvesting method includes moving, by the harvesting device, the upper harvest ring and the lower harvest ring along a surface shape of the fruit to position a fruit stalk of the fruit or the fruit inside each of the upper through hole and the lower through hole, and moving, by the harvesting device, the upper harvest ring relative to the lower harvest ring to harvest the fruit.

An object of the present invention is to provide an agricultural work apparatus, an agricultural work management system, and a program capable of appropriately managing agricultural work information and smoothly implementing agricultural work and business in the future by making use of agricultural work information. An agricultural work apparatus may include: a first image-capturing device; an agricultural work determination unit that determines, on the basis of first image information obtained by capturing an image of a target of agricultural work through the first image-capturing device, whether or not to execute the agricultural work on the target; an agricultural work execution unit that executes the agricultural work; an agricultural work information generation unit that generates agricultural work information including a result of the agricultural work; a measurement unit that measures a position of the target; and an agricultural work information management unit that manages the agricultural work information and positional information.

An object of the present invention is to provide an agricultural work apparatus, an agricultural work management system, and a program capable of appropriately managing agricultural work information and smoothly implementing agricultural work and business in the future by making use of agricultural work information. An agricultural work apparatus may include: a first image-capturing device; an agricultural work determination unit that determines, on the basis of first image information obtained by capturing an image of a target of agricultural work through the first image-capturing device, whether or not to execute the agricultural work on the target; an agricultural work execution unit that executes the agricultural work; an agricultural work information generation unit that generates agricultural work information including a result of the agricultural work; a measurement unit that measures a position of the target; and an agricultural work information management unit that manages the agricultural work information and positional information.

A fruit and vegetable picking method and device based on machine vision and storage medium that includes: acquiring fruit image of fruit or vegetable to be picked currently, calling pre-trained neural network model to identify fruit image, and determining type of fruit or vegetable; acquiring type of fruit or vegetable, and determining cuttable area on stalk of fruit or vegetable according to type of fruit or vegetable, locating cutting point; controlling end picking apparatus to cut off stalk of fruit or vegetable, according to cutting point being determined. By using pre-trained neural network model to detect fruit and cut stalk for picking, one device may be able to pick multiple fruits and vegetables, have high versatility and picking accuracy, avoid hurting pulp, and have improved harvest efficiency and quality of fruits and vegetables picked.

A fruit and vegetable picking method and device based on machine vision and storage medium that includes: acquiring fruit image of fruit or vegetable to be picked currently, calling pre-trained neural network model to identify fruit image, and determining type of fruit or vegetable; acquiring type of fruit or vegetable, and determining cuttable area on stalk of fruit or vegetable according to type of fruit or vegetable, locating cutting point; controlling end picking apparatus to cut off stalk of fruit or vegetable, according to cutting point being determined. By using pre-trained neural network model to detect fruit and cut stalk for picking, one device may be able to pick multiple fruits and vegetables, have high versatility and picking accuracy, avoid hurting pulp, and have improved harvest efficiency and quality of fruits and vegetables picked.

The present invention is in the field of a multiple carrier-gondola machine comprising modules for transferring objects, a machine for transferring objects comprising at least one module (100), which may be used for various applications. An example of such an application is harvesting of vegetables, such as for harvesting of asparagus.

The present invention is in the field of a multiple carrier-gondola machine comprising modules for transferring objects, a machine for transferring objects comprising at least one module (100), which may be used for various applications. An example of such an application is harvesting of vegetables, such as for harvesting of asparagus.

Disclosed herein is a collection tool configured to independently grasp and cut a tether of a target object for removal from an environment. The collection tool may include a body securable to a robotic arm of a collection robot, a base secured to the body, a plurality of fingers having proximal ends attached to the base, the plurality of fingers constructed and arranged to grasp the target object at distal ends of the plurality of fingers, and a blade coupled to one of the base or body and configured to cut the tether to which the target object is attached while the target object is held by the plurality of fingers.