A vehicle includes a chassis, ground-engaging elements configured to support the chassis, support assemblies supporting the chassis on the ground-engaging elements, adjustable axles configured to change a lateral distance from the chassis to each of the support assemblies, and a controller configured to move the chassis laterally along the axles without changing a track width between ground-engaging elements on opposing sides of the chassis. Disclosed methods may be used to remove and install application systems on the vehicle.

The present invention relates to an unmanned aerial vehicle (UAV) for agricultural field management. The UAV comprises a control and processing unit (20) and a camera (30). The control and processing unit is configured to control the UAV to fly to a location inside the canopy of a crop and below the vertical height of the crop and/or between a row of a plurality of crops and below the vertical height of the plurality of crop. The control and processing unit is configured to control the camera to acquire at least one image relating to the crop at the location inside the canopy of the crop and below the vertical height of the crop and/or between a row of a plurality of crops and below the vertical height of the plurality of crops. The control and processing unit is configured to analyse the at least one image to determine at least one disease, at least one pest and/or at least one nutritional deficiency.

The treatment unit includes an evaporation device including a gas circulation pipe, and a material with a large specific surface filling an evaporation section of the circulation pipe; a device for circulating the gas through the circulation pipe; a liquid impregnating the material with a large specific surface, the liquid containing at least one product or a mixture of volatile biocide and/or phytoprotective products, with a boiling temperature between 130 and 280° C., the material with a large specific surface having a liquid retention capacity greater than 50 L/m.sup.3 of material with a large specific surface at 20° C.; a recharging device, arranged to re-impregnate the material with a large specific surface with liquid or to replace the spent material with a large specific surface with a new material with a large specific surface impregnated with liquid.

The treatment unit includes an evaporation device including a gas circulation pipe, and a material with a large specific surface filling an evaporation section of the circulation pipe; a device for circulating the gas through the circulation pipe; a liquid impregnating the material with a large specific surface, the liquid containing at least one product or a mixture of volatile biocide and/or phytoprotective products, with a boiling temperature between 130 and 280° C., the material with a large specific surface having a liquid retention capacity greater than 50 L/m.sup.3 of material with a large specific surface at 20° C.; a recharging device, arranged to re-impregnate the material with a large specific surface with liquid or to replace the spent material with a large specific surface with a new material with a large specific surface impregnated with liquid.

A system for detecting fungus, virus, and disease-causing pathogens in an agricultural industry using artificial intelligence, which comprises: an unmanned aerial vehicle (UAV); and a ground terminal telecommunicating with the UAV using a wireless access communication, wherein the UAV comprises a wireless transmitter for transmitting data to and from the ground terminal, an array of cantilevers on a substrate located at one side of the wireless transmitter, a blacklight located at the other side of the wireless transmitter, and a sensory part located on the wireless transmitter, wherein the cantilever is made up of beams anchored at one end and projecting into space, and wherein the sensory part comprises a scanner with a high-definition microscope camera, a laser sensor for three-dimensional areal mapping, an infrared sensor, a humidity sensor, a thermostat, a gas sensor, a thermal sensor, an optical dust particle sensor, an electro-optical sensor, and an air quality sensor, and wherein the ground terminal comprises an artificial intelligence machine-learning and data-mining platform wirelessly telecommunicating with the UAV.

An agricultural machine, the machine comprising: a distributor boom; a sensor for detecting a vibration of the distributor boom; an electronic control device in communication with the sensor; and a mobile mass coupled to the distributor boom and associated with an actuator, the electronic control device, upon detection of a vibration in the distributor boom, configured to actuate the actuator to relocate the mobile mass in the direction of the vibration to be damped with respect to the distributor boom.

A composition for controlling a building-inhabiting pest, the composition including, as an active component, at least one kind of an amide derivative represented by the following Formula (1) in which, Q represents an unsubstituted phenyl group or a phenyl group substituted at the 2-, 3- or 4-position with one fluorine atom, R represents a hydrogen atom or a methyl group, and each of Y.sub.1 and Y.sub.2 independently represents a bromine atom, an iodine atom, or a trifluoromethyl group, and a method for controlling a building-inhabiting pest, the method including treating a space in a building with the composition. ##STR00001##

A composition for controlling a building-inhabiting pest, the composition including, as an active component, at least one kind of an amide derivative represented by the following Formula (1) in which, Q represents an unsubstituted phenyl group or a phenyl group substituted at the 2-, 3- or 4-position with one fluorine atom, R represents a hydrogen atom or a methyl group, and each of Y.sub.1 and Y.sub.2 independently represents a bromine atom, an iodine atom, or a trifluoromethyl group, and a method for controlling a building-inhabiting pest, the method including treating a space in a building with the composition. ##STR00001##

A system includes a first nozzle assembly positioned along a boom assembly. The first nozzle assembly includes a first valve operably coupled with a first nozzle. A first imaging device is associated with the first nozzle assembly. A second nozzle assembly is positioned along the boom assembly and includes a second valve operably coupled with a second nozzle. A second imaging device is associated with the second nozzle assembly. A computing system is operably coupled with the first nozzle assembly, the first imaging device, the second nozzle assembly, and the second imaging device. The computing system is configured to receive data from the first imaging device, identify a first reference point within the data provided by the first imaging device, receive data from the second imaging device, identify a second reference point within the data provided by the second imaging device, and determine a boom deflection model.

A sprayer control system includes a plurality of smart nozzles each having at least one control valve with a valve operator, an electronic control unit for the valve operator, and one or more spray nozzles. The at least one control valve and the ECU control a flow rate of liquid agricultural product through the nozzles. A duty cycle modulator is in communication with the ECU and generates an applied duty cycle for the at least one control valve. The duty cycle modulator includes a specified duty cycle input having a specified duty cycle and a pressure monitor associated with the at least one control valve. A pressure comparator compares the valve pressure determined with the pressure monitor with a system pressure and generates a pressure error. An applied duty cycle generator generates the applied duty cycle based on the specified duty cycle modified by the pressure error.