Patent classifications
A01B79/00
MAGNETIC INDEXING OF AGRICULTURAL SENSORS
A monitoring system for an agricultural sprayer includes spray nozzles, spray monitoring sensors, electromagnetic sensors, and control circuitry in electronic communication with the electromagnetic sensors. Each spray nozzle is configured to spray a fluid. Each spray monitoring sensor is disposed adjacent to a corresponding one of the spray nozzles and is configured to measure a spray parameter of that spray nozzle. The electromagnetic sensors are configured to generate signals when the electromagnetic sensors sense a magnetic field. Each electromagnetic sensor is disposed adjacent to and each of is representative of one of the spray monitoring sensors. The control circuitry is configured to receive the signals from the electromagnetic sensors in a received signal order and assign physical locations to the spray monitoring sensors based on the sequential communication order and a predetermined sequential order. Related methods and systems are also disclosed.
SPRAY MONITORING SYSTEMS, DEVICES, AND METHODS
A method of monitoring agricultural spray performance includes spraying a fluid from spray nozzles, sensing spray parameters (e.g., droplet size, a flow rate, an application density, or a pressure of the fluid) for the spray nozzles, receiving the spray parameters, generating an average spray parameter value, determining a minimum spray parameter value and a maximum spray parameter value, and displaying the average, minimum, and maximum spray parameter values. Other methods include spraying a fluid from a spray nozzle, sensing a spray parameter for the spray nozzle, detecting that the spray parameter has exceeded a pre-defined threshold value, displaying an alarm, and ceasing spraying the fluid from the spray nozzle. A user interface continues to display the alarm after the act of ceasing spraying the fluid. Related systems and other methods are also disclosed.
Agricultural data analysis
Described herein are systems and methods for agricultural data analysis. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural data including yield and field data and at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to monitor field operations, to store agricultural data, to automatically determine whether at least one correlation between different variables or parameters of the agricultural data exceeds a threshold, and to perform analysis of the agricultural data to identify a category of man-made issues or other issues that have potentially caused the correlation when at least one correlation occurs between different variables or parameters of the agricultural data.
DETECTION OF PLANT DISEASES WITH MULTI-STAGE, MULTI-SCALE DEEP LEARNING
A computer system is provided comprising a classification model management server computer configured, by instructions, to: receive a new image from a user device; apply a first digital model to first regions within the new image for classifying each of the first regions into a particular class; apply a second digital model to second regions within the new image for classifying each of the second regions into a particular class; and transmit classification data related to the class of the first regions and the class of the second regions to the user device. In connection therewith, the second regions each generally correspond to a combination of multiple first regions.
SYSTEMS AND METHODS OF CONTROLLING RESOURCE DISTRIBUTION TO A FIELD
System and methods to control resource distribution to fields are provided. A data processing system can identify a plurality of zones of the field, and can receive, from a client computing device, registration information of a node. The registration information can correlate the node with a zone of the field. The data processing system can obtain, via a gateway device and from the node, a first data file including field metric data and a second data file including third party data that pertains to the field. The data processing system can determine a resource distribution schedule based at least in part on data of the first data file and data of the second data file. The data processing system can receive, via the gateway device, a prompt from the node, and can provide an instruction to control a valve to regulate resource distribution to a portion of the field.
Soil monitoring system for an agricultural tillage implement
A soil monitoring system for an agricultural tillage implement includes a sensor configured to be coupled to a frame of the agricultural tillage implement. The sensor is configured to be directed toward a region of a soil surface. In addition, the sensor is configured to emit an output signal toward the region of the soil surface and to receive a return signal indicative of a profile of the soil surface within the region. Furthermore, the soil monitoring system includes a controller configured to identify a rough soil profile in response to determining that at least one variation in the profile of the soil surface within the region is greater than a first threshold value, and/or in response to determining that a number of variations in the profile of the soil surface within the region is greater than a second threshold value.
Ground opener with skewed support assembly
A ground opener for an agricultural implement. The ground opener comprising an opening disc, and a support assembly securing the opening disc to the agricultural implement. The support assembly comprises an upper bar, a lower bar, a forward bar, and a rearward bar. At least a portion of each of the bars is orientated at an offset angle with respect to a direction of travel of the agricultural implement.
Ground opener with skewed support assembly
A ground opener for an agricultural implement. The ground opener comprising an opening disc, and a support assembly securing the opening disc to the agricultural implement. The support assembly comprises an upper bar, a lower bar, a forward bar, and a rearward bar. At least a portion of each of the bars is orientated at an offset angle with respect to a direction of travel of the agricultural implement.
ELECTRIC POWERED SELF-PROPELLED DRIVING MACHINE
An electric powered self-propelled driving machine for working a ground comprising a bearing frame adapted to remain at a given distance from a reference surface when the machine is assembled, kinematic mechanisms coupled to the bearing frame and adapted to be arranged close to said reference surface when the machine is in use, electric motorization means, coupled to the bearing frame and operatively connected to the kinematic mechanisms, adapted to be electrically operated to move the bearing frame, a power supply cable adapted to be electrically connected to the electric motorization means and to be connected to an electric power supply source, a reference rotor around which the power supply cable is wound to form an electric coil of predefined length, coupled to the bearing frame and operatively connected to first rotation means adapted to be operated to unwind/rewind the power supply cable from/onto the reference rotor at least during the advancement of the driving machine (1) to perform a working of a ground, and a distribution arm, operatively connected to the bearing frame and supporting the power supply cable so as to at least limit the interference thereof with the kinematic mechanisms during the advancement of the driving machine on the ground. In an innovative manner, the driving machine provides for the reference rotor, and the electric coil wound thereon, to be arranged in the central part of the bearing frame so that both the front part and the rear part of the bearing frame are frontally free and directly facing the external environment in order to accommodate, removably, both pieces of equipment for working the ground.
Multi-purpose robot
Aspects of the present disclosure are presented for a multi-purpose robot. In certain implementations, the robot of the present disclosure can initiate performance of one or more tasks. Aspect(s) of the power consumption of the robot can be monitored. Input(s) originating from sensor(s) of the robot can be received. Based on the aspect(s) of the power consumption of the robot and input(s) originating from the sensor(s), aspect(s) of the performance of the one or more tasks can be adjusted.