A core recovery vehicle for recovering cores from turf which includes an elongated chassis having elongated sides and a front and a back. 1.sup.st and 2.sup.nd V-shaped wipers are carried on the chassis in a substantially horizontal orientation proximate to the front of the core recovery vehicle whereby the 1.sup.st and 2.sup.nd V-shaped wipers funnel cores from an open front to an apex opening of each V-shaped wiper; and 1.sup.st and 2.sup.nd elevators substantially aligned respectively with the apex opening of the 1.sup.st and 2.sup.nd V-shaped wipers, the 1.sup.st and 2.sup.nd elevators are substantially aligned with and have substantially all major parts thereof coincident respectively with 1.sup.st and 2.sup.nd substantially vertical virtual parallel spaced apart planes substantially aligned with the major axis of the chassis.

A rock bucket attachment for securement with a skid steer unit or tractor front loader, the attachment incorporating a bucket for use in combination with a grapple, the bucket having side walls, back walls, and a bottom wall, at least one pair of grapples interconnecting by lever arms to the side walls of the bucket, said at least one pair of grapples having a pair of side arms pivotally connected with the front of the lever arms, and hydraulic cylinders interconnecting between the back of the side arms and the back end of the side walls, or the frame structure interconnecting between the two, such that when the hydraulic cylinders are actuated, they initially pivot the lever arms forwardly to their fullest extent to arrange the grapples and its rake over a debris pile, and then further actuation of the hydraulic cylinders pivoting the side arms relative to the lever arms to pivot the rake of each grapple downwardly to urge any debris onto the bucket as the rake comes into proximity with the front of the bucket, to retain any raked debris therein. There are at least a pair or more of grapples operatively associated with the rock bucket attachment.

A rock bucket attachment for securement with a skid steer unit or tractor front loader, the attachment incorporating a bucket for use in combination with a grapple, the bucket having side walls, back walls, and a bottom wall, at least one pair of grapples interconnecting by lever arms to the side walls of the bucket, said at least one pair of grapples having a pair of side arms pivotally connected with the front of the lever arms, and hydraulic cylinders interconnecting between the back of the side arms and the back end of the side walls, or the frame structure interconnecting between the two, such that when the hydraulic cylinders are actuated, they initially pivot the lever arms forwardly to their fullest extent to arrange the grapples and its rake over a debris pile, and then further actuation of the hydraulic cylinders pivoting the side arms relative to the lever arms to pivot the rake of each grapple downwardly to urge any debris onto the bucket as the rake comes into proximity with the front of the bucket, to retain any raked debris therein. There are at least a pair or more of grapples operatively associated with the rock bucket attachment.

A core recovery vehicle for recovering cores from turf which includes an elongated chassis having elongated sides and a front and a back. 1.sup.st and 2.sup.nd V-shaped wipers are carried on the chassis in a substantially horizontal orientation proximate to the front of the core recovery vehicle whereby the 1.sup.st and 2.sup.nd V-shaped wipers funnel cores from an open front to an apex opening of each V-shaped wiper; and 1.sup.st and 2.sup.nd elevators substantially aligned respectively with the apex opening of the 1.sup.st and 2.sup.nd V-shaped wipers, the 1.sup.st and 2.sup.nd elevators are substantially aligned with and have substantially all major parts thereof coincident respectively with 1.sup.st and 2.sup.nd substantially vertical virtual parallel spaced apart planes substantially aligned with the major axis of the chassis.

An object-collection system is disclosed. The system including a vehicle connected to a bucket, a camera connected to the vehicle, and an object picking assembly configured to pick up objects off of ground. The system further includes a processor that obtains object information for identified objects, guides the object-collection system over a target geographical area toward the identified objects based on the object information, captures images of the ground relative to the object picker as the object-collection system is guided towards the identified objects, identifies a target object in the images, tracks movement of the target object across the images as the object-collection system is guided towards the identified objects, and employs the tracked movement of the target object to instruct the object picker to pick up the target object.

An object-collection system is disclosed. The system including a vehicle connected to a bucket, a camera connected to the vehicle, and an object picking assembly configured to pick up objects off of ground. The system further includes a processor that obtains object information for identified objects, guides the object-collection system over a target geographical area toward the identified objects based on the object information, captures images of the ground relative to the object picker as the object-collection system is guided towards the identified objects, identifies a target object in the images, tracks movement of the target object across the images as the object-collection system is guided towards the identified objects, and employs the tracked movement of the target object to instruct the object picker to pick up the target object.

An object identification method is disclosed. The method includes obtaining images of a target geographical area and telemetry information of an image-collection vehicle at a time of capture, analyzing each image to identify objects, and determining a position of the objects. The method further includes determining an image capture height, determining a position of the image using the capture height and the telemetry information, performing a transform on the image based on the capture height and the telemetry information, identifying the objects in the transformed image, determining first pixel locations of the objects within the transformed image, performing a reverse transform on the first pixel locations to determine second pixel locations in the image, and determining positions of the objects within the area based on the second pixel locations within the captured image and the determined image position.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a third set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the third set of conditions based on an analysis of the object identification information.

An object identification and collection method is disclosed. The method includes employing an image-collection vehicle to capture first images of a target geographical area, identifying one or more objects in the first images, and guiding an object-collection system over the target geographical area toward the one or more identified objects. The method further includes determining object information for each of the identified objects and guiding the object-collection system based on the object information. The method may further include capturing second images of the ground relative to the object-collection system as the object-collection system is guided toward the one or more identified objects, identifying a target object in the second images, and instructing the object-collection system to pick up the target object.