A01M7/0089

SYSTEM FOR PROVIDING PRESCRIPTIVE APPLICATION OF MULTIPLE PRODUCTS

A system for dispensing crop input products from multiple meters per crop row, including: a) a georeferencing module configured to receive and process georeferenced location information; b) a prescriptive control module configured to receive the processed georeferenced location information from the georeferencing module and utilize the georeferenced location information to generate specific prescriptive rate information for individual meters in the field; and, c) a meter controller module operatively connected to the prescriptive control module. The meter controller module is configured to utilize the specific prescriptive rate information to individually control multiple meters per crop row, to simultaneously dispense crop input products at specific prescriptive rates at georeferenced locations throughout the field.

Device and method for detecting blockages in an agricultural sprayer
09766105 · 2017-09-19 · ·

An agricultural sprayer arrangement includes a chassis; a ground engaging traction member carried by the chassis; a liquid tank carried by the chassis; a boom carried by the chassis; a conduit associated with the boom in fluid communication with the liquid tank that acts as a fluid flow path; a nozzle having an inlet in fluid communication with the conduit; a first flow sensor placed upstream of the inlet in the fluid flow path that provides a first flow signal; a second flow sensor placed downstream of the inlet in the fluid flow path that provides a second flow signal; and an electrical processing circuit coupled to the first flow sensor and the second flow sensor that is configured to compare the first and second flow signals to determine a flow rate decrease and issue an alarm if the flow rate decrease is less than a predetermined threshold level.

Spray drift systems and methods including an input device

Systems and methods for adjusting or providing instructions to spraying systems are provided. In an exemplary embodiment of the present disclosure, an apparatus to identify sensitive areas is provided. The apparatus comprising: a module to electronically receive sensitive area information, the sensitive area information related to one or more sensitive areas proximate to a first specified location; a module to electronically receive an identity of a first substance to be sprayed at the first specified location; and an alert mechanism to provide an indication of a first sensitive area proximate to the first specified location which is sensitive to the first substance.

ROTOR-SUSPENDED BOOM SPRAYER WITH WIDE SPRAY BOOM AND CONTROL METHOD THEREOF

A rotor-suspended boom sprayer includes a sprayer body, a pair of polygonal rollers mounted on the sprayer body, and two rotor wide spray booms which are respectively located on either side of the sprayer body when unfolded, the two rotor wide spray booms being unrolled and rolled up by the polygonal roller. Each rotor wide spray boom includes at least one electric motor, at least one propeller correspondingly connected to the electric motor, several sets of rotor spray boom units connected to each other, and several spraying heads provided on the rotor wide spray boom. A self-balancing fixed height system is provided on each rotor wide spray boom to acquire height information and regulate balance and height above the ground of the boom, and the sprayer body is equipped with a main control system connected to the polygonal roller, the electric motor, and the self-balancing fixed height system.

DEVICE AND METHOD FOR REMOVING OR KILLING WEEDS
20220044030 · 2022-02-10 ·

A device for removing or killing weeds, comprising a first image capturing apparatus for capturing a first ground image, a data processing unit connected thereto and an agricultural machine controlled by the data processing unit, which is designed for the targeted removal or killing of weeds, wherein the data processing apparatus is configured to receive the first ground image from the first image capturing apparatus, to receive manually determined position data from at least one connected terminal, which indicate the position of weeds and/or crops and/or ground structures, e.g. rows of plants, which have been detected in the first ground image by one or more users, and, on the basis of the position data, to control the agricultural machine in such a way that it removes or kills the weeds in a targeted manner.

AGRICULTURAL DISTRIBUTION MACHINE HAVING A SYSTEM FOR THE AUTOMATIC SWITCHING OF SPRAY PROFILES
20170251657 · 2017-09-07 · ·

An agricultural distribution machine for spreading liquid and/or solid plant protection products by means of a distribution apparatus which is height-adjustably arranged on a frame of the distribution machine having a plurality of nozzle holders with spray nozzles mounted thereon arranged spaced apart from each other for the purpose of distributing the plant protection product to be spread. Activation of the distribution apparatus is carried out based on at 10 least two spray profiles stored in a computer unit, each spray profile composed of a plurality of parameters. In order to achieve a consistent distribution quality of the plant protection product, different spray profiles can be stored in a computer unit and, in the instance of a deviation of the parameters of a spray profile, an automated activation of the distribution machine or of the distribution 15 apparatus to the parameters of a second spray profile is carried out.

MONITORING MODULE FOR SPRAYERS
20220232815 · 2022-07-28 · ·

The present invention relates to the application of plant protection agents, fertilisers and/or pesticides by means of a (preferably portable) sprayer or a small appliance (such as, for example, a bicycle tyre sealant injector). The present invention relates to a monitoring module with which existing sprayers can be equipped in order to control, track and/or document the spraying process. The present invention further relates to a method, a system and a computer program product for monitoring spraying processes.

NOZZLE FAULT DETECTION

A spray system includes nozzles spaced along a distribution line. Each nozzle actuates the position of one or more internal valves based on a spray command received from a system control module. Sensors generate position information regarding the actuation of the valves. The actual valve positions are compared to expected valve positions to determine a deviation between the two. The deviation can be compared to a threshold to determine a status of that nozzle. A normal nozzle status can be generated based on the deviation being less than the threshold. An abnormal nozzle status can be generated based on the deviation being equal to or exceeding the threshold.

PREDICTIVE WEED MAP AND MATERIAL APPLICATION MACHINE CONTROL

A predictive map is obtained by an agricultural material application system. The predictive map maps predictive weed values at different geographic locations in a field. A geographic position sensor detects a geographic locations of an agricultural material application machine at the field. A control system generates a control signal to control the agricultural material application machine based on the geographic locations of the agricultural material application machine and the predictive map.

AUTOMATED PLANT DETECTION USING IMAGE DATA

A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.