Systems, devices, and methods for performing autonomous agricultural operations are described herein. An exemplary device may include a toolbar to which a plurality of implements may be interchangeably coupled, and a pair of parallel chassis beams mounted perpendicularly on the toolbar. At least a portion of each of the chassis beams may be telescopic and configured to be extended outward from, and retracted inward towards, the toolbar. The device may also include a plurality of drive assemblies each mounted on one of the chassis beams, and a plurality of motors corresponding to the drive assemblies and configured to drive the drive assemblies in accordance with one or more drive parameters to move the device throughout a site. The device may further include a computing device configured to automatically determine the drive parameters, and cause the plurality of motors to drive the corresponding drive assemblies in accordance with the drive parameters.

Systems, devices, and methods for performing autonomous agricultural operations are described herein. An exemplary device may include a toolbar to which a plurality of implements may be interchangeably coupled, and a pair of parallel chassis beams mounted perpendicularly on the toolbar. At least a portion of each of the chassis beams may be telescopic and configured to be extended outward from, and retracted inward towards, the toolbar. The device may also include a plurality of drive assemblies each mounted on one of the chassis beams, and a plurality of motors corresponding to the drive assemblies and configured to drive the drive assemblies in accordance with one or more drive parameters to move the device throughout a site. The device may further include a computing device configured to automatically determine the drive parameters, and cause the plurality of motors to drive the corresponding drive assemblies in accordance with the drive parameters.

Various embodiments detect and manage target vegetation in vegetation areas, including crop beds, between crop beds, and turfgrasses. In one embodiment, a machine learning model is trained to detect target vegetation in captured images. An information processing system is programmed utilizing the machine learning model. One or more images of a particular area are captured, and target vegetation is detected within the one or more images. A position of the detected target vegetation is determined within the one or more images. An applicator disposed on an agrochemical applicator system that is mapped to the position of the detected target vegetation within the one or more images is determined. The applicator is activated based on a current speed of a vehicle coupled to the agrochemical applicator system, and further based on configuration data associated with the applicator. Activating the applicator selectively applies an agrochemical to the detected target vegetation.

A scanning device for use in gathering data relating to crops is described including: at least one camera; and a stroboscopic light source is associated with each at least one camera; the device is arranged to be moved around an area where a crop is grown and includes a means for determining the location of the device in the area; the device being arranged to take images of the crop from the at least one camera in synchrony with the stroboscopic light source as the device moves around the area; and wherein the stroboscopic light source has a light output of greater than 6×10.sup.−5 joules/cm.sup.2 (at 2 feet).

A scanning device for use in gathering data relating to crops is described including: at least one camera; and a stroboscopic light source is associated with each at least one camera; the device is arranged to be moved around an area where a crop is grown and includes a means for determining the location of the device in the area; the device being arranged to take images of the crop from the at least one camera in synchrony with the stroboscopic light source as the device moves around the area; and wherein the stroboscopic light source has a light output of greater than 6×10.sup.−5 joules/cm.sup.2 (at 2 feet).

A control system for a tillage implement broadly includes front and rear sensors, a leveling assembly, and a controller. The front sensor is positioned on a front of a central section, wherein the front sensor is configured to obtain height information indicative of a height of the front of the central section above a ground. The rear sensor is positioned on a rear of the central section, wherein the rear sensor is configured to obtain height information indicative of a height of the rear of the central section above the ground. The leveling assembly is configured to adjust a front to rear orientation of the central section. The controller is configured to receive the height information from the front sensor and the height information from the rear sensor, and to provide instructions to the leveling assembly to adjust the front to rear orientation of the central section based on the received height information.

A control system for a tillage implement broadly includes front and rear sensors, a leveling assembly, and a controller. The front sensor is positioned on a front of a central section, wherein the front sensor is configured to obtain height information indicative of a height of the front of the central section above a ground. The rear sensor is positioned on a rear of the central section, wherein the rear sensor is configured to obtain height information indicative of a height of the rear of the central section above the ground. The leveling assembly is configured to adjust a front to rear orientation of the central section. The controller is configured to receive the height information from the front sensor and the height information from the rear sensor, and to provide instructions to the leveling assembly to adjust the front to rear orientation of the central section based on the received height information.

An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

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.