An agricultural plant protection machine and a diaphragm pump thereof are provided. The diaphragm pump includes a pump body including a containing cavity; a pump cover on the pump body; a diaphragm in the containing cavity, which and the pump cover surround to form a cavity; and a driving mechanism in the containing cavity. The driving mechanism includes a push rod, a coil assembly and an elastic reset member. The push rod is connected to the diaphragm and the elastic reset member. When the coil assembly is powered on and powered off alternately, the push rod makes a reciprocating linear motion to drive the diaphragm to reciprocate relative to the pump cover so as to reduce or enlarge the cavity.

The present invention discloses an agricultural aircraft for spreading granular fertilizer and a spreading method thereof. The agricultural aircraft includes an aircraft body, a power system, and a spreading device, where the spreading device is located at a front part of the aircraft body, and the aircraft body is also provided at the front thereof with a wind direction sensor and a wind speed sensor communicatively connected a controller; the spreading device includes a box body, a throwing disc, and a tray connected to the box body, where a left baffle plate and a right baffle plate with controllable opening angles are disposed on the tray; an upper part of the box body is a material box for storing granular fertilizer, a cavity for accommodating the tray and the throwing disc is disposed on one side of the box body.

Disclosed is a technique for providing an Object Recognition Based Horticultural Feedback Analysis (ORB-HFA) feedback loop using an unmanned aircraft system (UAS). The techniques include determining a position of an unmanned aerial vehicle (UAV) of the UAS within a grow operation and providing a mission including one or more operations to the UAV based at least on the position of the UAV and feedback from one or more sensors residing at least partially on a visual observer device of the UAS to direct the UAV to perform the one or more operations in the grow operation, wherein the UAV is configured to capture one or more images of one or more plants included in the grow operation as the UAV performs the one or more operations of the first mission.

A precision agriculture implementation method by UAV systems and artificial intelligence image processing technologies provides an unmanned aerial vehicle (UAV), a wireless communication device, a central control unit, and a spray device and a multispectral camera installed to the UAV. The farming area is divided into an array of blocks. The central control unit controls the UAV to fly over the blocks according to navigation parameters and the multispectral camera to capture a multispectral image of each block. A projected leaf area index (PLAI) and a normalized difference vegetation index (NDVI) of each block are calculated by the multispectral image, and a spray control mode of the spray device of the corresponding block is set according to the PLAI and NDVI. The spray device is controlled to spray a water solution, salt solution, fertilizer solution, and/or pesticide solution to the corresponding block according to the spray control mode.

Systems and methods for operating a HAUCS sensing platform. The methods comprise: autonomous travel by a UAAV to a first location in proximity to a body of water (BoW) in accordance with a mission plan; actuating a mechanical device to transition a sensor from a retracted position in which the sensor is adjacent to a UAAV to an extended position in which the sensor resides a given distance from a UAAV; collect, by HAUCS sensing platform and sensor, sensor data concerning a water condition of BoW at different depths; actuating the mechanical device to transition the sensor from the extended position to the retracted position after the sensor data has been collected; causing the sensor data to be processed using a machine learning-based analytical engine to determine whether a water distress condition exists/is predicted to occur; and modifying the mission plan when the water distress condition exists/is predicted to occur.

A diaphragm pump includes a pump body mechanism, a diaphragm mechanism, a motor mechanism, and an eccentric mechanism. The diaphragm mechanism includes a diaphragm. The eccentric mechanism including a bracket assembly and an auxiliary member. The motor mechanism includes a motor. The bracket assembly includes a bracket connected to the diaphragm and a driving member mounted at a motor shaft of the motor. The auxiliary member is mounted at the bracket, arranged corresponding to the driving member, and configured to contact the driving member. The diaphragm mechanism, the motor mechanism, and the eccentric mechanism are mounted at the pump body mechanism. The motor shaft is configured to drive the driving member to reciprocally abut against the auxiliary member to cause the bracket to move together with the auxiliary member to drive the diaphragm to reciprocate.

A device for detecting offending objects such as insects on substrates such as on leaves, plants, in fluid or over a large area. The device has a microscope lens which magnifies a portion of the substrate and sends an image of the substrate portion to an image recognition system. If the image recognition system detects the presence of an offending objectfurther steps are taken to remove, neutralize or mark the area where the offending object is located for subsequent action. The device may be mounted on a movable platform such as drone for active surveillance and action over a large area.

The present disclosure is directed to an apparatus for remotely treating an animal with an agent comprising: a launcher adapted to hold an agent and propel the agent in a treatment dose over a distance to an animal in response to a trigger command; an electronic reader module comprising: a communication interface arranged to receive an identification signal from a sensor associated with an animal; a trigger interface arranged to detect a trigger command to the launcher; and a means to record in a memory the treatment of the animal identified from electronic sensor and treated by the launcher.

A method for measuring plant planting data, and a method for planning operating route, device and system are provided, which relate to the technical field of plant protection. The method includes: training a deep network model using historical information of a planting region (S210); receiving image information of the planting region (S220); processing the image information of the planting region using a deep network model to obtain plant planting data (S230); and outputting the plant planting data (S240). The method for planning operating route utilizes the plant planting data obtained by the measuring method to plan an operating route.

The present disclosure generally relates to a system and method for providing individualized management for a plurality of plants. An exemplary system comprises a plurality of drones including a first drone, a docking station, and a server. The first drone is in assigned to a first plant of the plurality of plants and is configured to accommodate a plurality of combinations of drone attachments. The docking station comprises a plurality of drone attachments. The server includes a database related to the plurality of plants. The database includes location information associated with the first plant. The first drone is further configured to: make a plurality of visits to the first plant, gather plant-specific information associated with the first plant, obtain a prescription based on the plant-specific information, wherein the prescription is associated with one or more requirements, based on the prescription, provide care to the first plant.