A01B43/00

Object learning and identification using neural networks

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.

Object learning and identification using neural networks

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.

Stalk puller

A stalk puller to be used with or without a mower/shredder utilizes a pair of independently mounted discs converging along their lower edge to grasp and pull stalks from the ground as the stalk puller is moved down the row by a prime mover. At least one of the discs is urged against the other by a spring such that the associated disc may allow rocks and debris to pass between the discs without damage. The spring mounting reduces adjustments due to normal wear as well as damage from debris.

Stalk puller

A stalk puller to be used with or without a mower/shredder utilizes a pair of independently mounted discs converging along their lower edge to grasp and pull stalks from the ground as the stalk puller is moved down the row by a prime mover. At least one of the discs is urged against the other by a spring such that the associated disc may allow rocks and debris to pass between the discs without damage. The spring mounting reduces adjustments due to normal wear as well as damage from debris.

Object learning and identification using neural networks

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 target 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 target set of conditions based on an analysis of the object identification information.

Object learning and identification using neural networks

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 target 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 target set of conditions based on an analysis of the object identification information.

Apparatuses and methods for moving windrow ends inward
10849273 · 2020-12-01 ·

Apparatuses for and methods of moving the ends of windrows inward are disclosed. The apparatuses of the present invention include a front end, a rear end and two opposing sides, the front end configured to be wider than the rear end, two skids attached to the two opposing sides, a gate rotatably attached to the rear end and configured to cover an opening in the rear end, a gate cylinder operably attached to the gate and configured to close the gate to collect fruit and/or nuts within the apparatus, and open the gate to distribute the fruit and/or nuts outside of the apparatus, thus eliminating the need to hand rake the ends of the windrows inward or to blow the ends of the windrow inward with a hand blower.

POWER RAKE AND MULTI-PURPOSE BUCKET COMBO ATTACHMENT
20200318312 · 2020-10-08 ·

A power rake and multi-purpose bucket combo attachment includes a power rake drum, a multi-purpose bucket and a frame. The multi-purpose bucket is configured to dig, scoop, lift, carry, clamp, pinch or hold. The frame is configured to hold the power rake drum and the multi-purpose bucket in positions for operation on a loader machine. The frame also includes a plate configured for attachment to a loader machine. Wherein, the power rake and multi-purpose bucket combo attachment is configured to combine the power rake drum and the multi-purpose bucket that can dig, scoop, lift, carry, clamp, pinch or hold in a single attachment, whereby the power rake multi-purpose bucket combo attachment provides operations of both the power rake drum and the multi-purpose bucket.

TOPOGRAPHY FOLLOWING MATERIAL COLLECTION DEVICE AND RELATED METHODS THEREOF
20200305332 · 2020-10-01 ·

A topography following material collection device and related methods thereof are disclosed. According to an aspect, The device comprises a topography following system, a material collecting system, a plurality of ground contacting implements, where the topography following system provides support for the material collecting system at a desired height with respect to a ground surface, and the material collection system supporting the ground contacting implements in supplemental and augmenting stages, such that the device is adapted to be moved over ground with laterally-stable progress while following topography of the ground to collect material from the ground.

TOPOGRAPHY FOLLOWING MATERIAL COLLECTION DEVICE AND RELATED METHODS THEREOF
20200305332 · 2020-10-01 ·

A topography following material collection device and related methods thereof are disclosed. According to an aspect, The device comprises a topography following system, a material collecting system, a plurality of ground contacting implements, where the topography following system provides support for the material collecting system at a desired height with respect to a ground surface, and the material collection system supporting the ground contacting implements in supplemental and augmenting stages, such that the device is adapted to be moved over ground with laterally-stable progress while following topography of the ground to collect material from the ground.