A01B79/005

Work layer imaging and analysis for implement monitoring, control and operator feedback
11615525 · 2023-03-28 · ·

A soil imaging system having a work layer sensor disposed on an agricultural implement to generate an electromagnetic field through a soil area of interest as the agricultural implement traverses a field. A monitor in communication with the work layer sensor is adapted to generate a work layer image of the soil layer of interest based on the generated electromagnetic field. The work layer sensor may also generate a reference image by generating an electromagnetic field through undisturbed soil. The monitor may compare at least one characteristic of the reference image with at least one characteristic of the work layer image to generate a characterized image of the work layer of interest. The monitor may display operator feedback and may effect operational control of the agricultural implement based on the characterized image.

TURF AERATOR

An aerator for a turf surface has a traction control, an OPC bail, and an aeration bail capable of single handed operation. A controller automatically lowers a tine head to begin aerating at a start location marked when the aeration bail is closed and lifts the tine head to end aeration at an end location marked when the aeration bail is released. The controller further causes the tines that enter the turf surface at the start location to penetrate to a desired hole depth. The controller also automatically adjusts ground speed to maintain a desired hole spacing during an aeration pass, but permits the operator to speed up during a turnaround between passes with a steerable front wheel freewheeling to mitigate wheel scrubbing. A handle assembly having a spring counterbalance is height adjustable and automatically engages a parking brake when placed in an upright non-operating position.

Method for executing an agricultural work process on a field

A method for executing an agricultural work process on a field by means of a group of agricultural work machines. The work machines each have work assemblies which are adjustable with machine parameters for adapting to the respective agricultural conditions. The work machines of the group communicate with one another via a wireless network. The work machines of the group are configured as self-optimizing work machines which each have a driver assistance system for generating and adjusting machine parameters in an automated manner. These machine parameters are optimized with respect to the agricultural conditions. The work machines of the group cooperate collectively in the manner of a virtual work machine.

Detection of plant diseases with multi-stage, multi-scale deep learning
11615276 · 2023-03-28 · ·

In some embodiments, a computer-implemented method is disclosed. The method comprises receiving a plant image from a user device and applying a first digital model to first regions within the image for classifying each of the first regions into a class of a first set of classes corresponding to a first plurality of plant diseases, a healthy condition, or a combination of a second plurality of plant diseases. The method also includes applying a second digital model to one or more second regions within the image for classifying each of the one or more second regions into a class of a second set of classes corresponding to the second plurality of plant diseases. The method then includes transmitting classification data related to the classes of the first set of classes and the classes of the second set of classes to the user device into which the regions are classified.

ORCHARD VEHICLE AND SYSTEM

A method and system provide the ability to autonomously navigate an orchard cart in an orchard. Data is received from a sensor suite of the orchard cart into a computer. The sensor suite includes two or more sensors with at least one positional sensor and at least one perception sensor. Based on the data, the computer detects objects in the orchard. A row in the orchard consists of the objects. The orchard cart is autonomously navigated, via the computer, through the orchard. The navigation includes autonomously positioning the orchard cart a defined distance from the detected objects with respect to the row, and autonomously maintaining a defined speed of the orchard cart as the orchard cart is navigated down the row, such that the orchard cart avoids the detected object.

Method, system and apparatus for managing crops

A method of managing crops using an electronic device having an interface. Inputs of crop data is received, and each of the crop data is associated with a sample site location corresponding to each of a plurality of images captured by an image capturing device. A graph plotting one or more types of crop data including data associated with the plurality of images is generated in a first display region of the interface. A subset of sample site locations requiring one of a predetermined set of actions is displayed on the map in a second display region of the interface based on a selection within one of the plots on the graph.

OPTIMIZED SOIL SAMPLING FOR DIGITAL SOIL FERTILITY MAPPING USING MACHINE LEARNING AND REMOTELY-SENSED INFORMATION
20230032688 · 2023-02-02 ·

A soil modeling and mapping framework for use in precision agriculture analyzes remotely-sensed data pertaining to characteristics of one or more agricultural fields, and determines optimal sampling locations from information in remotely-sensed information, terrain derivatives and satellite imagery, to develop a customized sampling design for modeling soil properties in such agricultural fields that optimized for the particular landscape in such fields. The soil modeling and mapping framework then analyzes soil samples collected based on the customized sampling design in machine learning-based models that predict soil properties in sampled, semi-sampled, and unsampled target fields. The predicted soil properties are used to develop highly-accurate maps of soil properties such as fertility maps, which may further be used for defining and creating one or more management zones with recommendations for applying the right amount of nutrients at variable rates in the correct areas.

SPEED CONTROL OF IMPLEMENTS DURING TRANSITIONS OF SETTINGS OF AGRICULTURAL PARAMETERS
20220346304 · 2022-11-03 ·

Speed control of machines and associated implements during transitions of agricultural parameters is described herein. In one embodiment, a processing system comprises processing logic to execute instructions for processing agricultural data and performing speed control of a machine and associated implement during a transition period for adjusting a setting of an agricultural parameter. A communication unit is coupled to the processing logic. The communication unit to transmit and receive data from the implement. The processing logic is configured to execute instructions to adjust the setting of the agricultural parameter and to determine a desired speed control during the transition period based on at least one of a desired transition distance and productivity during the transition period.

Utilizing spatial statistical models for implementing agronomic trials

Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment. In an embodiment, in response to selecting the second treatment, the system generates a prescription map, the prescription map including the second treatment. The system may also generate one or more scripts which, when executed by an application controller, cause the application controller to control an operating parameter of an agricultural implement to apply the second treatment.

IMPLEMENTS & APPLICATION UNITS HAVING AT LEAST ONE APPLICATION MEMBER FOR PLACEMENT OF APPLICATIONS WITH RESPECT TO AGRICULTURAL PLANTS OF AGRICULTURAL FIELDS
20230086491 · 2023-03-23 ·

Described herein are implements and applicators for placement of fluid applications with respect to agricultural plants of agricultural fields. In one embodiment, a fluid applicator for applying fluids to plants in rows in a field includes a frame, a coulter connected to the frame and disposed to open a trench between the rows of plants, and at least one application member connected to the frame or to the coulter and disposed to apply fluid to a rhizosphere of the plants.