A method includes receiving, by the treatment system, during operation in an agricultural environment, one or more images comprising one or more agricultural objects in the agricultural environment, identifying, in real-time, one or more objects of interest from the one or more agricultural objects by analyzing the one or more images, wherein the analyzing results in a first object being identified as belonging to one or more target objects and a second object being identified as not belonging to the one or more target objects, logging one or more results of the identification of each of the one or more objects of interest and a corresponding treatment decision; and activating the treatment mechanism to treat the one or more target objects.

A method performed by a treatment system disposed on a moving platform, the treatment system having one or more processors, a storage and a treatment mechanism, comprising: receiving one or more images of an environment in which the moving platform is operating; identifying, in real-time, a pose of the moving platform using sensor inputs; identifying one or more target objects by processing the one or more images using a machine learning (ML) algorithm; and controlling the treatment mechanism to treat the one or more target objects by orienting the treatment mechanism towards the one or more target objects at least partially based on the pose.

A method performed by a treatment system disposed on a moving platform, the treatment system having one or more processors, a storage and a treatment mechanism, comprising: receiving one or more images of an environment in which the moving platform is operating; identifying, in real-time, a pose of the moving platform using sensor inputs; identifying one or more target objects by processing the one or more images using a machine learning (ML) algorithm; and controlling the treatment mechanism to treat the one or more target objects by orienting the treatment mechanism towards the one or more target objects at least partially based on the pose.

A method includes receiving, by the treatment system, during operation in an agricultural environment, one or more images comprising one or more agricultural objects in the agricultural environment, identifying, in real-time, one or more objects of interest from the one or more agricultural objects by analyzing the one or more images, wherein the analyzing results in a first object being identified as belonging to one or more target objects and a second object being identified as not belonging to the one or more target objects, logging one or more results of the identification of each of the one or more objects of interest and a corresponding treatment decision; and activating the treatment mechanism to treat the one or more target objects.

Method for generating an application map (20) for treating a field with an agricultural equipment comprising the following steps: providing (S10) a field map (10) of a field to be treated; determining (S20) areas in the field map (10) with a weed and/or pest infestation by using an image classification algorithm; and generating (S30) an application map (20) specifying areas for treating the field with an agricultural equipment, wherein the application map (20) is based on the determined areas infested by weed and/or pest infestation; wherein the method further comprises the step of providing boundary data with respect to the field.

Plant scanning vehicles (10) including, but not limited to, plant scanning vehicles for use in field-based phenotyping. There is a central body (16); three or more legs (15) extending from the central body (16) to support a wheel (13) on each leg (15); wherein the three or more legs (15) are mounted to the central body (16) rotatably about a respective vertical axis (95) to allow adjustment of a track width W of the vehicle by rotating the legs wherein the legs are mechanically coupled to transmit rotation between the legs about their respective vertical axes and the central body (16) or the three or more legs (13) are configured to support a sensor (47) to scan plants.

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.

Plant eradication and stressing of plants using illumination signaling where a short-time dual component, low energy, unnatural set of irradiances is applied, with no mutagenic or high radiative energy transfers in any wavelength for eradication by substantial high temperature thermally-induced leaf and plant component failure or incineration. An Indigo Region Illumination Distribution of wavelength 300 nm to 550 nm is directed to plant foliage and/or a plant root crown, while infrared radiation that is substantially Medium Wavelength Infrared radiation of 2-20 microns wavelength, 2.4-8.0 microns preferred, is directed to a plant root crown and/or soil immediately adjacent the root crown. The Indigo Region Illumination Distribution can pass through the MWIR emitter to form a compact illuminator that uses specific unnatural irradiances that provide unexpected plant control. The MWIR emitter can comprise borosilicate glass at 400° F. to 1000° F.

Plant eradication and stressing of plants using illumination signaling where a short-time dual component, low energy, unnatural set of irradiances is applied, with no mutagenic or high radiative energy transfers in any wavelength for eradication by substantial high temperature thermally-induced leaf and plant component failure or incineration. An Indigo Region Illumination Distribution of wavelength 300 nm to 550 nm is directed to plant foliage and/or a plant root crown, while infrared radiation that is substantially Medium Wavelength Infrared radiation of 2-20 microns wavelength, 2.4-8.0 microns preferred, is directed to a plant root crown and/or soil immediately adjacent the root crown. The Indigo Region Illumination Distribution can pass through the MWIR emitter to form a compact illuminator that uses specific unnatural irradiances that provide unexpected plant control. The MWIR emitter can comprise borosilicate glass at 400° F. to 1000° F.

A computing system includes image receiving logic configured to receive image data indicative of an image of a field, ground identification logic configured to identify a first image portion of the image representing ground in the field, image segmentation logic configured to identify a remaining image portion that omits the first image portion from the image, and crop classification logic configured to apply a crop classifier to the remaining image portion and identify a second image portion of the image that represents locations of crop plants in the field. The computing system also includes weed identification logic configured to identify locations of weed plants in the field based on the identification of the first and second image portions and control signal generation logic configured to generate a machine control signal based on the identified locations of the weed plants.