A01M21/02

SYSTEM FOR SEMI-AUTOMATIC AND/OR AUTOMATIC WEED REMOVAL
20210176979 · 2021-06-17 ·

Provided herein is a system for semi-automatic and/or automatic weed removal a system for automatic detection of weeds including an optical sensor and a central server unit, with a communication network, an open-loop and/or closed-loop control device and a weed removal device, wherein the optical sensor, the server unit and the open-loop and/or closed-loop control device are in data connection via the communication network, wherein image data of a weed is generated via the optical sensor and transmitted to the server unit, which analyses the transmitted image data such that the weed can be determined, and wherein, via the server unit, in the case of a clear determination of the weed, weed confirmation data is transmitted to the open-loop and/or closed-loop control device which, in response to the weed confirmation data, controls and/or regulates the weed-removal device so that the weed detected by the optical sensor can be removed.

MOBILE ANALYSIS AND PROCESSING DEVICE

The invention relates to a mobile analysis and processing device (14) for agriculture for processing the soil and/or manipulating flora and fauna. The device (14) comprises at least one sensor (62), a tool unit (52) having at least one motor-driven tool (58), an actuator (48) for moving at least the tool (58) of the tool unit (52), a motor (50) for driving the tool (58) and/or the actuator (48), a database (78), a first communication unit (60) having an interface (70a), and a first computer (46) for controlling the sensor (62), the tool unit (52) and the actuator (48) by means of generated control commands. The data captured by means of the sensor (62) are continually compared with the data stored in the database (78) in order to generate corresponding control signals for the actuator (48), the tool unit (52) and/or the motor (50). By means of said device, mobility and flexibility are created, in accordance with which flexibility the device (14) forms a unit by means of which all data can be processed in real time, control signals can be generated for the actuator (48), the tool unit (52) and/or the motor (50) and immediate operation in accordance with the control signals is possible. Thus, combination with, for example, different carriers (12), which move the device (14) over the field if necessary, is possible.

MOBILE ANALYSIS AND PROCESSING DEVICE

The invention relates to a mobile analysis and processing device (14) for agriculture for processing the soil and/or manipulating flora and fauna. The device (14) comprises at least one sensor (62), a tool unit (52) having at least one motor-driven tool (58), an actuator (48) for moving at least the tool (58) of the tool unit (52), a motor (50) for driving the tool (58) and/or the actuator (48), a database (78), a first communication unit (60) having an interface (70a), and a first computer (46) for controlling the sensor (62), the tool unit (52) and the actuator (48) by means of generated control commands. The data captured by means of the sensor (62) are continually compared with the data stored in the database (78) in order to generate corresponding control signals for the actuator (48), the tool unit (52) and/or the motor (50). By means of said device, mobility and flexibility are created, in accordance with which flexibility the device (14) forms a unit by means of which all data can be processed in real time, control signals can be generated for the actuator (48), the tool unit (52) and/or the motor (50) and immediate operation in accordance with the control signals is possible. Thus, combination with, for example, different carriers (12), which move the device (14) over the field if necessary, is possible.

Weed Seed Destruction with Improved Wear Characterisitics
20210282329 · 2021-09-16 ·

Weed seeds are destroyed in the chaff from a combine harvester by repeated high speed impacts caused by a rotor mounted in one of a pair of side by side housings which accelerate the discarded seeds into contact with stator bars at angularly spaced positions around the axis of the rotor. U-shaped bars are symmetrical and can be reversed when the second leg is worn for extended life. Parts of the rotor and stator which are radially outward of other parts are formed with a higher resistance to wear approximately proportional to the radius so that the wear characteristics of the different parts are matched to the velocity of the particles impacting the different portions to generate symmetrical wear throughout the structure

Weed Seed Destruction with Improved Wear Characterisitics
20210282329 · 2021-09-16 ·

Weed seeds are destroyed in the chaff from a combine harvester by repeated high speed impacts caused by a rotor mounted in one of a pair of side by side housings which accelerate the discarded seeds into contact with stator bars at angularly spaced positions around the axis of the rotor. U-shaped bars are symmetrical and can be reversed when the second leg is worn for extended life. Parts of the rotor and stator which are radially outward of other parts are formed with a higher resistance to wear approximately proportional to the radius so that the wear characteristics of the different parts are matched to the velocity of the particles impacting the different portions to generate symmetrical wear throughout the structure

IDENTIFYING AND AVOIDING OBSTRUCTIONS USING DEPTH INFORMATION IN A SINGLE IMAGE

A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

Agricultural robot
D0921056 · 2021-06-01 ·

METHOD FOR ANALYZING INDIVIDUAL PLANTS IN AN AGRICULTURAL FIELD

A method includes: at an autonomous vehicle and during a first operating period, capturing a first set of images of a plant; calculating a location of the plant based on the first set of images; extracting an initial value of a plant metric of the plant based on the first set of images; predicting a predicted value of the plant metric of the plant at a time based on the initial value of the plant metric of the plant and a set of global condition data. The method also includes, at the autonomous vehicle and during a second operating period concurrent with the time: capturing a second set of images of the plant; identifying the plant based on the second set of images and the location of the plant; and executing an agricultural operation on the plant based on the predicted value of the plant metric.

METHOD FOR ANALYZING INDIVIDUAL PLANTS IN AN AGRICULTURAL FIELD

A method includes: at an autonomous vehicle and during a first operating period, capturing a first set of images of a plant; calculating a location of the plant based on the first set of images; extracting an initial value of a plant metric of the plant based on the first set of images; predicting a predicted value of the plant metric of the plant at a time based on the initial value of the plant metric of the plant and a set of global condition data. The method also includes, at the autonomous vehicle and during a second operating period concurrent with the time: capturing a second set of images of the plant; identifying the plant based on the second set of images and the location of the plant; and executing an agricultural operation on the plant based on the predicted value of the plant metric.

METHOD FOR ANALYZING INDIVIDUAL PLANTS IN AN AGRICULTURAL FIELD

A method includes: at an autonomous vehicle and during a first operating period, capturing a first set of images of a plant; calculating a location of the plant based on the first set of images; extracting an initial value of a plant metric of the plant based on the first set of images; predicting a time series of the plant metric of the plant based on the plant profile of the plant and a set of global condition data. The method also includes: generating a timing recommendation for an agricultural operation based on the plant profile of each plant in the set of plants, the timing recommendation designating a target time.