Abstract: Disclosed is an electronic device including a display module and a camera module. The display module includes a first substrate and a second substrate stacked with each other, and a routing structure arranged on a surface of one side of the second substrate facing towards the first substrate, and provided with a first light-passing hole. The camera module includes a camera body and a light-shielding layer arranged on a surface of one side of the first substrate away from the second substrate and provided with a light inlet hole and a second light-passing hole. The first light-passing hole, the second light-passing hole, and the light inlet hole are arranged in an optical axis direction of the camera module. An orthographic projection of the first light-passing hole and the second light-passing hole on a surface perpendicular to the optical axis direction fall within an orthographic projection of the light inlet hole.

Abstract: The present invention relates to the technical field of field crop cultivation, more particularly to a training method, an evaluation method, an electronic device and a storage medium. According to the present invention, a multispectral three-dimensional point cloud map is obtained through depth information and multispectral information, and the multispectral three-dimensional point cloud map is analyzed by utilizing an FVNet three-dimensional target detection algorithm, thereby acquiring crop feature information. Thus, more comprehensive crop information can be obtained, and a crop state evaluation model constructed based on an artificial neural network can be further trained with the crop feature information.

Abstract: A pen needle assembly apparatus includes a housing (30), a movable gripping assembly (32) for gripping a pen needle assembly (18), and an actuator (108). The housing (30) has a top end (34), a bottom end (36), and an inner cavity (38) for storing used pen needle assemblies. The gripping assembly (32) in one embodiment includes two movable jaws (58) that are movable to engage and grip the outer cover (22) of the pen needle assembly (18) so that the needle hub (16) can be separated from the outer cover (22) and placed back in the outer cover (22) after use of the pen needle. The actuator (108) is connected to the jaws (58) where movement of the actuator separates the jaws to release the outer cover of the pen needle assembly. The housing (30) has an opening 160) for engaging the inner shield (24) of the pen needle assembly to remove the inner shield (24) from the needle hub (16).

Abstract: A fruit picking method based on a three-dimensional parameter prediction model for a fruit comprises: performing first-time image acquisition processing on a to-be-picked fruit to obtain a first image; determining a first range; controlling a manipulator to perform first-time moving processing; performing intermittent gas injection treatment to lead to forced vibration of the to-be-picked fruit; performing second-time image acquisition processing many times to obtain a plurality of second images; screening out, by taking the first image as an reference object, two appointed second images deviating from an equilibrium position to the maximum extent; jointly inputting the images into a preset three-dimensional parameter prediction model for the fruit so as to obtain predicted three-dimensional parameters; controlling the manipulator to perform second-time moving processing; and performing cutting processing on a fruit stem position to make the to-be-picked fruit fall onto the manipulator.

Abstract: The present invention relates to the technical field of field crop cultivation, more particularly to a training method, an evaluation method, an electronic device and a storage medium. According to the present invention, a multispectral three-dimensional point cloud map is obtained through depth information and multispectral information, and the multispectral three-dimensional point cloud map is analyzed by utilizing an FVNet three-dimensional target detection algorithm, thereby acquiring crop feature information. Thus, more comprehensive crop information can be obtained, and a crop state evaluation model constructed based on an artificial neural network can be further trained with the crop feature information.

Abstract: Disclosed is a fruit picking method based on a visual servo control robot, comprising: placing a throwing apparatus and a fixed photosensitive device at a first position to obtain a fixed photosensitive image; generating a first throwing path, a second throwing path, and a third throwing path; arranging recovery apparatuses; performing simultaneous rotational throwing processing to throw a first wireless photosensitive device, a second wireless photosensitive device, and a third wireless photosensitive device; receiving a first photosensitive image sequence and a second photosensitive image sequence of the first wireless photosensitive device and the second wireless photosensitive device; receiving a third photosensitive image sequence of the third wireless photosensitive device; generating a spatial position of a fruit on a to-be-picked fruit tree; and performing fruit picking processing using the visual servo control robot according to the spatial position of the fruit.

Abstract: A pen needle assembly apparatus (60) includes a housing (30), a movable support (40) for supporting a pen needle (18), an ejector (80) for ejecting a used pen needle from the support, and an actuator (56). The support (40) is rotated relative to the housing (30) to index the pen needles to a position where the pen needle can be accessed and coupled to a delivery device (10). The used pen needle (18) is returned to the well (42) in the support and the support rotated toward the ejector (80) where the used pen needle is ejected to a compartment (50) in the housing for disposal. A cover (60) on the housing includes at least one opening (65) for accessing the pen needle when the support is rotated to position a pen needle relative to the opening in the cover.

Abstract: Disclosed is a method for detecting an infection stage of anthracnose pathogen with pre-analysis capacity, comprising: obtaining a plurality of sample sensing data sequences; obtaining a sample citrus leaf image; obtaining a first prediction result; if the first prediction result is that the sample citrus crop is not infected by anthracnose, obtaining sample Raman spectral data and sample hyperspectral data; obtaining a first judgment result, and obtaining a second judgment result; performing labeling to obtain second training data; training a neural network model to obtain a second anthracnose prediction model; obtaining a plurality of to-be-analyzed sensing data sequences; obtaining a to-be-analyzed citrus leaf image; obtaining a second prediction result; if the second prediction result is that the to-be-analyzed citrus crop is not infected by anthracnose, obtaining a third prediction result.

Abstract: Disclosed is a fruit picking method based on a visual servo control robot, comprising: placing a throwing apparatus and a fixed photosensitive device at a first position to obtain a fixed photosensitive image; generating a first throwing path, a second throwing path, and a third throwing path; arranging recovery apparatuses; performing simultaneous rotational throwing processing to throw a first wireless photosensitive device, a second wireless photosensitive device, and a third wireless photosensitive device; receiving a first photosensitive image sequence and a second photosensitive image sequence of the first wireless photosensitive device and the second wireless photosensitive device; receiving a third photosensitive image sequence of the third wireless photosensitive device; generating a spatial position of a fruit on a to-be-picked fruit tree; and performing fruit picking processing using the visual servo control robot according to the spatial position of the fruit.

Abstract: Disclosed is a fruit picking method based on a visual servo control robot, comprising: placing a throwing apparatus and a fixed photosensitive device at a first position to obtain a fixed photosensitive image; generating a first throwing path, a second throwing path, and a third throwing path; arranging recovery apparatuses; performing simultaneous rotational throwing processing to throw a first wireless photosensitive device, a second wireless photosensitive device, and a third wireless photosensitive device; receiving a first photosensitive image sequence and a second photosensitive image sequence of the first wireless photosensitive device and the second wireless photosensitive device; receiving a third photosensitive image sequence of the third wireless photosensitive device; generating a spatial position of a fruit on a to-be-picked fruit tree; and performing fruit picking processing using the visual servo control robot according to the spatial position of the fruit.

Abstract: A citrus identification method comprises: performing first-time image acquisition processing on a target citrus tree to obtain a first image; inputting the first image into a first citrus fruit identification model to be processed to obtain a first identification result sequence; performing area interception processing on the first image to obtain a citrus fruit area; obtaining roundness integrity numerical values; selecting an appointed roundness integrity numerical value, and acquiring a defect position of an appointed citrus fruit in the first image; determining a first spatial range and a second spatial range; performing both first spray injection treatment and second spray injection treatment; performing second-time image acquisition processing to obtain a second image; inputting the second image into a second citrus fruit identification model to be processed to obtain a second identification result; and generating a citrus fruit identification result.

Abstract: A storage device (30) for storing a pen needle assembly (10) includes a housing (30) having first wells (44) with a dimension for receiving the pen needle assembly and second wells (46) for receiving an inner shield (24) of the pen needle assembly. The second wells (46) have a diameter less than a diameter of the first wells (44). An ejector (40) in the housing (34) can be actuated to eject the used needle hub (16) and outer covers (22) from the first well (44) and the inner shield (24) from the second well (46) for disposal. A method of coupling a pen needle delivery device to a needle hub positions a needle hub assembly (18) in the first well (44) and inserts the coupling end of the delivery device (10) into the first well (44) and is coupled to the needle hub. The needle hub is pulled from the outer cover (22). The inner shield (24) is inserted into the second well (46) to remove the inner shield from the needle hub.

Abstract: A citrus identification method comprises: performing first-time image acquisition processing on a target citrus tree to obtain a first image; inputting the first image into a first citrus fruit identification model to be processed to obtain a first identification result sequence; performing area interception processing on the first image to obtain a citrus fruit area; obtaining roundness integrity numerical values; selecting an appointed roundness integrity numerical value, and acquiring a defect position of an appointed citrus fruit in the first image; determining a first spatial range and a second spatial range; performing both first spray injection treatment and second spray injection treatment; performing second-time image acquisition processing to obtain a second image; inputting the second image into a second citrus fruit identification model to be processed to obtain a second identification result; and generating a citrus fruit identification result.

Abstract: The application discloses a fruit picking method based on a three-dimensional parameter prediction model for a fruit.

Abstract: Disclosed is a method for detecting an infection stage of anthracnose pathogen with pre-analysis capacity, comprising: obtaining a plurality of sample sensing data sequences; obtaining a sample citrus leaf image; obtaining a first prediction result; if the first prediction result is that the sample citrus crop is not infected by anthracnose, obtaining sample Raman spectral data and sample hyperspectral data; obtaining a first judgment result, and obtaining a second judgment result; performing labeling to obtain second training data; training a neural network model to obtain a second anthracnose prediction model; obtaining a plurality of to-be-analyzed sensing data sequences; obtaining a to-be-analyzed citrus leaf image; obtaining a second prediction result; if the second prediction result is that the to-be-analyzed citrus crop is not infected by anthracnose, obtaining a third prediction result.

Abstract: Disclosed is an obstacle avoiding method and apparatus for an unmanned aerial vehicle based on a multi-signal acquisition and route planning model.

Abstract: Disclosed is an obstacle avoiding method and apparatus for an unmanned aerial vehicle based on a multi-signal acquisition and route planning model.

Abstract: The present application discloses a multilevel cooperation-based unmanned aerial vehicle spraying operation method.

Abstract: A needle hub assembly for coupling to a pen needle delivery device (10) includes an outer cover (30) having a first well (40) receiving the needle hub (16) and inner shield (24) covering a cannula (20) of the needle hub (16). A second well (42) is spaced from the first well (40) and has a dimension for receiving the inner shield (24). In use, the pen delivery device (10) is coupled to the connecting end of the needle hub (16) to withdraw the needle hub (16) and inner shield (24) from the first well (40). The inner shield (24) is inserted into the second well (42) where the inner shield (24) is gripped so that the inner shield can be separated from the needle hub (16) without the user handling the outer cover (30) or the inner shield (24). After use, the needle hub (16) is inserted into the first well (40) and the pen needle delivery device is separated from the needle hub (16).

Abstract: A method for improving health of an elderly person based on a 5G signal transmission technology includes: acquiring by a real terminal a first sensing signal set; modifying the first sensing signal set to obtain a second sensing signal set; transmitting the second sensing signal set to a predetermined intermediate terminal according to a predetermined 5G signal transmission technology; correspondingly transmitting by the intermediate terminal the second sensing signal set to a predetermined simulation apparatus, acquiring by the intermediate terminal physiological feature signals to obtain a physiological feature signal set; if the physiological feature signal set does not exceed a preset standard, then transmitting the second sensing signal set to an elderly-person terminal; correspondingly transmitting by the elderly-person terminal the second sensing signal set to a second restorer cluster.