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 system for an agricultural operation includes a first vehicle equipped with an imaging sensor configured to capture image data associated within a field. A computing system is communicatively coupled with the imaging sensor. The computing system is configured to receive the image data associated with the field, identify one or more objects within the image data as a target, identify one or more objects within the image data as a landmark, determine a location of the target relative to the landmark, and generate a control command for a second vehicle. The control command includes the location of the target relative to the landmark within the field.

A system for an agricultural vehicle can include a nozzle assembly positioned along a boom assembly. A position sensor can be associated with the boom assembly. A field sensor can be associated with the nozzle assembly. A computing system can be operably coupled with the nozzle assembly, the position sensor, and the field sensor. The computing system can be configured to detect a target within a field based on data from the field sensor, determine a boom deflection model based on data from the position sensor, and activate the nozzle assembly to apply an agricultural product to the target at a first flow rate based on the boom deflection model. The first flow rate is varied from a nominal flow rate when the boom assembly is deflected.

A computer-implemented method of controlling a mobile agricultural machine includes obtaining prior field data representing a position of plants in a field, obtaining in situ plant detection data from operation of the mobile agricultural machine in the field, determining a position error in the prior field data based on the in situ plant detection data, and generating a control signal that controls the mobile agricultural machine based on the determined position error.

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.

A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular system moves through the geographic region. An individual module further includes a treatment mechanism for applying a treatment to the individual plants of the row based on the field measurement data before the modular system passes by the individual plants. An individual module further includes a computing device that determines the treatment based on the field measurement data and communicates data to the hub. The hub is communicatively coupled to the modules, so that it may exchange data between the modules and with a remote computing system.

A system for applying fluid to an agricultural field includes a fluid source, a plurality of nozzles connected in fluid communication with the fluid source, and a plurality of electrically actuated valves configured to control fluid flow through the plurality of nozzles. The plurality of electrically actuated valves are divided into a plurality of groups. The system also includes a plurality of section control valves. Each section control valve is connected in fluid communication between the fluid source and a corresponding one of the groups of electrically actuated valves. Each section control valve is positionable to adjust a flow coefficient of the section control valve. The system further includes a controller configured to control the position of each section control valve to provide a predetermined flow coefficient for each section control valve based on a predetermined fluid pressure for the corresponding group of electrically actuated valves.

The present invention provides a system and method for real-time monitoring of an above-ground height of a boom based on multi-source information fusion. The system includes a boom, an information acquisition unit, and a control unit. The method includes: step 1: establishing a relationship between an above-ground height s of the boom and an output current y of a pull-wire cylinder displacement sensor; step 2: calibrating ultrasonic ranging sensors; step 3: acquiring above-ground heights of the boom; step 4: performing anti-interference processing on the acquired height data; step 5: calculating an above-ground height H.sub.0 of the boom by multi-source data fusion; step 6: calculating a distance H.sub.canno between the boom and a crop canopy; step 7: acquiring an inclination angle θ.sub.b of the boom; and step 8: calculating heights H.sub.end of two ends of the boom relative to ground.

A farming system (1) for row crop installations (10) comprises: a first plurality of plants (10A) and a second plurality of fruit or vegetable plants (10B), disposed along a first longitudinal axis (L1) and a second longitudinal axis (L2), respectively, and mutually spaced along a transverse direction (T) to form a first row (F1) and a second row (F2); a supporting structure (11), configured to support the plants and including, for the first row (F1) and the second row (F2), a first plurality of posts (11A) and a second plurality of posts (11B); a first rail (12A), connected to the first plurality of posts (11A); a second rail (12B), connected to the second plurality of posts (11B). The first rail (12A) and the second rail (12B) are oriented longitudinally and spaced transversely from each other to define a track (12). The system comprises a trolley (13), movable along the track (12) and including a movement actuator (131), configured to move the trolley (13) on the track (12).

Problem To provide an information processor capable of effectively reducing a risk of pest damage to produce. Solution An information processor 10 predicts a risk of pest damage to produce, the information processor comprising: a prediction unit for predicting an effect of reducing the pest damage risk for each of a plurality of countermeasure candidates for changing at least one influencing parameter affecting the pest damage risk; and a selection unit for selecting a countermeasure from among the plurality of countermeasure candidates while prioritizing a countermeasure having a higher effect of reducing the pest damage risk, on the basis of a result of predicting the effect of reducing the pest damage risk afforded by the prediction unit.