Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include identifying an emitter of an agricultural projectile delivery system to calibrate a trajectory of an agricultural projectile to intercept a target, predicting a projectile impact site relative to the reference of alignment, determining a calibration parameter to align the projectile impact site and the target, and adjusting the trajectory based on the one or more calibration parameters.

Apparatus, systems and methods for the application of water, fertilizers and herbicides to municipal plants, crop plants, indoor plants, nursery plants and the like. A self-powered mobile apparatus delivers a liquid agent. The apparatus has a reservoir for the agent and a dispenser, electronic plant identifier or geographic locator, and an electronic controller to control delivery of the agent based on an output of the electronic plant identifier or geographic locator, or an output of a remote electronic plant identifier or geographic locator.

A system and method for the detection and tracking of droplets sprayed from an agricultural spray nozzle is provided. The system includes a sensor configured to observe droplets sprayed from the nozzle, a frame extractor module, a droplet shape and size extraction module, a droplet tracking module, and a data log module. The system may provide an artificial intelligence (AI)-enabled framework capable of processing images obtained of droplets, detecting and tracking all droplets appearing across image frames, and determining the droplets' geometric and dynamic data. The system further provides for the integration of deep-learning techniques into an image processing algorithm which enables precise and reliable determination of droplet characteristics. In addition, the deep-learning framework produces consistent results under a variety of uncertain imaging conditions.

A method for dispensing at least one liquid medium with the aid of a spray nozzle unit, in particular for agricultural purposes. The spray nozzle unit includes at least one spray nozzle via which the medium is dispensed, and at least one sensor device via which a biomass, in particular weeds, is/are recognized. With knowledge of the location of the biomass, the at least one spray nozzle is activated in order to dispense the medium onto the biomass.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The system uses a pump in combination with a fluid regulator to obtain and disperse fluid from the fluid tanks. The fluid regulator includes a fluid input port, a fluid output port and a fluid control valve. A first tube fluidly coupled from the fluid pump to the fluid input port. The system includes a moveable treatment head having one or more spraying tips, including a first spraying tip. A second tube is fluidly coupled from the fluid output port to the moveable treatment head. A system includes a controller configured to provide to the fluid regulator to open and close the fluid control valve to release an amount of the first fluid.

An automated implement control system includes one or more distance sensors configured for coupling with an agricultural implement. The one or more distance sensors are configured to measure a ground distance and a canopy distance from the one or more sensors to the ground and crop canopy, respectively. An implement control module is in communication with the one or more distance sensors. The implement control module controls movement of the agricultural implement. The implement control module includes a confidence module configured to determine a ground confidence value based on the measured ground distance and a canopy confidence value based on the measured canopy distance. A target selection module of the implement control module is configured to select one of the measured ground or canopy distances as a control basis for controlling movement of the agricultural implement based on the comparison of confidence values.

The present invention relates to a method (10) to control weeds comprising the steps of: a) acquiring geopositional information of planted crop seeds on an agricultural field and generating a crop seed map, b) acquiring soil elevation data and the corresponding geopositional information of the soil elevation on the agricultural field where the crop seeds have been planted or are being planted at at least two different time points and generating soil surface profile maps of the agricultural field, the soil surface profile maps showing the soil surface profiles at the at least two different time points, c) comparing the soil surface profile maps and the crop seed map to identify differences in the soil elevation profile that are not associated with seed growth of the planted seeds on the agricultural field, d) generating a weed control agent spray map on the basis of the differences in the identified soil elevations on the agricultural field that are not associated with seed growth of the planted crop seeds on the agricultural field.

The present invention relates to a method for treatment of an agricultural field, the method comprising the steps: 1) receiving (S10) a parametrization (10) for controlling a treatment device (200) by the treatment device (200) from a field manager system (100); 2) receiving (S20) from at least one soil sensor (400) real-time soil information on the real-world situation of the geographical location G1 in the agricultural field; 3) processing (S30) the real-time soil information to generate processed information (30), 4) determining (S40) a control signal (50) for controlling a treatment arrangement (270) of the treatment device (200) based on the received parametrization (10) and the processed information (30), 5) executing (S50) a treatment on the geographical location G2 in the agricultural field, wherein the treatment is executed based on the control signal (50) real-time after receiving the real-time soil information in such a way that the distance between location G1 and location G2 does not exceed 100 meters.

Computerized method for controlling an agricultural treatment in which; a receiver module receives a two-dimensional image of an agricultural area acquired by a sensor; a processing module (16) determines a time period for activating an agricultural treatment device for agriculturally treating a portion of the agricultural area identified by a neural network (20) processing the image as requiring an agricultural treatment. The time period has a predetermined duration which includes a time of treating the portion of the agricultural area around an average time determined for a virtual portion of the agricultural area, identified as requiring an agricultural treatment and determined in the horizontal plane of the agricultural treatment device (3).