94 results about "Agricultural mechanization" patented technology

The invention relates to the technical field of agricultural machinery automation control, and discloses an agricultural machinery operation path intelligent planning method based on Beidou positioning. The method comprises the following steps: firstly, acquiring Beidou positioning data and a farmland geographic data set, and eliminating positioning noise by using a dynamic filtering algorithm to obtain a calibrated agricultural machine track sequence; performing rasterization processing on the farmland geographic data to generate a digital elevation model, and dividing a job priority region; generating an initial operation path by adopting a hybrid optimization algorithm, and dynamically adjusting the path based on real-time operation state information; and finally, a path conflict detection module is combined with obstacle coordinates to calculate a collision probability, and a final agricultural machine operation path is output. According to the method, various factors are comprehensively considered, real-time dynamic adjustment of the path can be realized, path conflicts are effectively avoided, the operation precision and efficiency of agricultural machinery are improved, energy consumption and equipment loss are reduced, and agricultural mechanization and intelligentization development is promoted.

Methods, devices, and systems, that relate to mechanization of agricultural tasks, including a robotic tool carrier configured to be mounted on a tractor or other type of vehicle and employing imaging and artificial intelligence to perform agricultural tasks, such as pruning, cutting vegetables, or weeding crops.

The invention provides an impeller type rice side depth variable fertilizer apparatus based on discrete elements, and belongs to the field of rice side depth fertilization. The invention aims to provide a structure capable of meeting the variable application requirement of the liquid fertilizer and provide the optimal parameter design of the structure. According to the impeller type variable fertilizer discharger, the impeller rotates to convey the fertilizer from the fertilizer inlet to the fertilizer outlet, and the opening degree of the fertilizer discharging inlet is changed by adjusting the speed of the fertilizer adjusting shifting piece, so that variable control of the fertilizing amount is realized. In order to ensure that the device can operate according to expectation, key parts are theoretically analyzed, and structural parameters are reasonably optimized and adjusted by combining simulation research on related factors of the fertilizer in the movement process; the design of the device not only provides a new implementation way for variable rate fertilization, but also contributes to improving the fertilization precision and the automation level of rice production, and promotes the development of rice agricultural mechanization to a certain extent.

The invention belongs to the field of agricultural mechanization equipment, and provides greening auxiliary planting equipment based on different mountainous area site conditions, the greening auxiliary planting equipment comprises a hand-held device and a walking device, the walking device comprises a front wheel mechanism, a rear wheel mechanism and a bottom bridge, and a pair of ground gripping devices is arranged at the tail of the bottom bridge; an intestine-shaped vehicle body is arranged above the front wheel mechanism and the rear wheel mechanism, a rotary clamping device is arranged at the front end of the intestine-shaped vehicle body and comprises a plurality of lower clamping openings distributed at intervals, a tail hoop is arranged at the position, close to the rear end, of the intestine-shaped vehicle body, and the two sides of the tail hoop are each provided with a telescopic device. The telescopic device comprises a fixed cantilever, a movable cantilever, a plurality of upper clamping pieces and a centralizing clamping piece, and a control device used for controlling the telescopic device to stretch out and draw back is arranged on the movable cantilever and the handheld device. The device is reasonable in design, good in moving flexibility, good in mountainous region trafficability and beneficial to auxiliary planting and improvement of operation efficiency.

The invention discloses an agricultural unmanned cluster path planning method based on deep learning, and relates to the technical field of agricultural mechanization and intellectualization, and the method comprises the following steps: constructing a causal graph neural network comprising environmental parameters, agronomic rule parameters and equipment dynamics parameters; according to the method, dynamic constraint deep fusion of the unmanned aerial vehicle and the unmanned aerial vehicle is realized by constructing a causal association model, and the problem of state space incompatibility of a traditional isomorphic algorithm is solved; by means of a cross-scale causal attention mechanism and a semantic mask technology, field-level data and plant-level agronomic rules are accurately mapped, and a multi-source data semantic fault is broken through; through terrain adaptive modeling and a lightweight model strategy, the complex environment adaptability and the equipment reasoning efficiency are improved, the core problems of low agricultural unmanned cluster cooperation efficiency, poor agricultural compliance, insufficient communication robustness and the like are systematically solved, and an efficient and reliable scheme is provided for global fine operation.

The invention provides a fruit quality detection method, a robot and terminal equipment, and the method is applied to the fruit quality detection robot, and specifically, a plant canopy is scanned to obtain a canopy image so as to recognize a target detection fruit and adjust the collection posture of a mechanical arm, so that target recognition and positioning of the fruit are realized; fruit appearance images of target detection fruits are collected through the visual system, fruit external appearance characteristic detection is achieved, fruit spectrum data of the target detection fruits are collected through the spectrum collection system, fruit internal quality detection is achieved, and detection surrounds the whole growth stage of the whole cherry tomato plant and is continuous; in addition, fruit quality evaluation is carried out based on a deep learning model, and it is ensured that a quality detection task can be rapidly responded and completed in an orchard environment. Therefore, the fruit growth stage can be efficiently, accurately and automatically monitored in the orchard, the overall quality and market competitiveness of the fruits are improved, and agricultural mechanization and automation development is promoted.

The invention discloses a multi-task detection and quality evaluation method for intelligent harvesting of root vegetables. Relates to the technical field of agricultural mechanized harvesting, and comprises the following steps: constructing a double-branch network structure YOLOv8-Dual, and combining a multi-scale attention aggregation module MSAA and a multi-scale feature enhancement module MAFE to realize collaborative optimization of root vegetable ontology detection, leaf segmentation and quality grading. The MSAA module improves multi-scale adaptability through multi-scale feature fusion and an attention mechanism, and the MAFE module promotes information complementation between tasks through shape / texture feature enhancement. According to the method, the detection precision and the quality evaluation capability are remarkably improved while the real-time performance is ensured, an efficient solution is provided for agricultural mechanical harvesting, and the agricultural intelligent process is promoted.

The invention belongs to the technical field of agricultural mechanization and intelligent equipment, and particularly relates to a corn harvester operation soil compaction degree judgment method based on machine tool real-time parameters, in particular to a soil compaction degree judgment method. The invention aims to solve the problem of low soil compaction prediction accuracy caused by the fact that the existing soil compaction prediction method considers soil indexes and machine pressure and does not consider the influence of dynamic indexes which can be autonomously controlled by a driver on soil compaction. The method comprises the steps of 1, collecting a feature data training set; 2, obtaining a standardized feature data training set; 3, obtaining an optimal compaction degree prediction model; 4, constructing an optimal comprehensive compaction degree model; 5, constructing an optimal compaction early warning model; 6, constructing an optimal comprehensive compaction risk early warning model; 7, collecting a to-be-detected feature data set, obtaining an optimal comprehensive compaction degree model of the to-be-detected feature data set, and outputting a comprehensive compaction degree value and a risk early warning level; and 8, pushing on a screen end in real time.

The invention discloses a hillside orchard intelligent shrub cleaning weeding machine, and relates to the technical field of intelligent agricultural machinery, the core structure of the hillside orchard intelligent shrub cleaning weeding machine is a self-adaptive crawler chassis, the self-adaptive crawler chassis comprises a chassis shell and crawlers on two sides, and the contact area between the crawlers and the ground can be dynamically adjusted through telescopic cooperation of a wheel support hydraulic rod and a tripod and a driven wheel; and the trafficability and the stability of the machine on complex mountain terrains are obviously improved. In addition, the machine is further provided with a deformation mechanism, the levelness of the working mechanism can be automatically adjusted according to the terrain, and stable operation on the sloping field and the rugged terrain is ensured. The control and power system achieves centralized driving control over all power mechanisms, and the operation convenience and the intelligent level are further improved. Through the innovative design of the self-adaptive crawler chassis and the deformation mechanism, the defects in the prior art are effectively overcome, remarkable practicability and innovativeness are achieved, the actual requirement for cleaning the shrubs in the hills and mountains can be met, and a new solution is provided for agricultural mechanization development.

The invention discloses a plant leaf disease and insect pest detection method and system, and relates to the field of intelligent agriculture, and the method comprises the following steps: calibrating a binocular vision system; collecting plant leaf disease and insect pest images by adopting a calibrated binocular vision system; using improved YOLOv8-seg to segment the disease and insect pest area of the image to obtain a left mask, a right mask and an integral plant leaf; calculating an overlapping region of the left mask and the right mask as a final pest and disease damage region; calculating the percentage of the final pest and disease damage area in the whole plant leaf as the plant leaf pest and disease damage degree; respectively acquiring geometric center coordinates of the left mask and the right mask; performing three-dimensional correction on the left mask and the right mask; and calculating three-dimensional coordinates corresponding to the left mask and the right mask after three-dimensional correction. The invention provides a plant leaf disease and insect pest detection method and system, and provides convenience for intelligent agricultural disease and insect pest diagnosis and agricultural mechanization operation.

The invention belongs to the field of agricultural machinery and automatic driving, and particularly relates to an agricultural machinery multi-machine cooperative on-site scheduling management and control system and a regulation and control method, and the system comprises a chassis vehicle and a plurality of agricultural machinery in communication with the chassis vehicle. The chassis vehicle is suitable for sending a work task to each agricultural machine, and each agricultural machine is suitable for feeding back task progress and position data to the chassis vehicle; the chassis vehicle is suitable for sending a control instruction to the corresponding agricultural machine so as to control the agricultural machine; accurate multi-machine scheduling and efficient operation management in the field environment are achieved, and agricultural mechanization is promoted to develop towards the intelligentization and automation direction.

The invention relates to the technical field of agricultural mechanization, and discloses a variable-variable and variable-width fertilizer spreader, which comprises: a cabinet, the bottom of which is provided with a crawler belt for moving the device; the collecting mechanism is mounted in the cabinet and used for releasing and collecting the rope for moving; the fixing mechanisms are mounted on the two sides of the cabinet and used for fixing the position of the cabinet; the fertilizer spreading mechanism is mounted on one side of the cabinet and is used for spreading a fertilizer; the stirring mechanism is mounted in the fertilizer spreading mechanism and is used for mixing the fertilizer; the bundling mechanism comprises a rope winding disc, and the rope winding disc rotates in the machine cabinet. The moving path and stability of the equipment are controlled through the rope conveying mechanism, the phenomenon of uneven fertilization caused by equipment displacement is avoided, the system design not only protects the soil structure, but also provides a good growth environment for crops, promotes development of root systems and effective absorption of nutrients, and finally facilitates improvement of the yield and quality of the crops.

The present invention discloses a fruit and vegetable picking and grasping structure and a fruit and vegetable picking robot, belonging to the technical field of agricultural picking machinery. The structure comprises a base, a fruit grasping assembly, and a fruit stem fixing assembly. The fruit grasping assembly forms a fruit-enclosing cavity by means of multiple claws hinged circumferentially on a support body. The fruit stem fixing assembly employs dual clamping arms to clamp the fruit stem from both sides. When the support body moves downward, the claws drag the fruit, separating the fruit stem. By designing the fruit grasping assembly and the fruit stem fixing assembly, the present invention achieves separation between the fruit and the fruit stem, making it suitable for fruit and vegetable picking operations. Combined with structures such as a multi-jointed manipulator and a mobile chassis, the system can achieve agricultural mechanization for the entire fruit and vegetable picking and collection process.

The invention relates to the technical field of agricultural mechanization and automation, in particular to a new energy agricultural machine mobile charging and replacing energy supplementing method and system. The method comprises the following steps: obtaining an operation concentration area of the new energy agricultural machinery, and deploying a mobile charging and battery replacing vehicle in the operation concentration area; establishing an energy transaction platform based on the block chain technology; obtaining charging demand information of the new energy agricultural machine, wherein the charging demand information comprises work amount and energy demand, charging efficiency, geographic factors and environmental factor information; determining the optimal cost between the mobile charging and battery swapping vehicle and the new energy agricultural machinery; and mobile charging and energy supplement of the new energy agricultural machinery are realized. According to the invention, by fusing the dynamic deployment of the mobile charging vehicle, the block chain-driven energy transaction platform and the multi-dimensional charging demand analysis model, the energy complementing efficiency is greatly improved, the operation cost is reduced, the major innovation of the energy complementing system is realized, and subversive technical support is provided for the green and intelligent development of agriculture.

The invention provides a rotary cultivator crushed soil quality detection system and method based on an image technology, and the method comprises the steps: obtaining and preprocessing a soil image in the working process of a rotary cultivator, the soil image being a multi-channel color image; extracting a soil feature region from the preprocessed soil image through an image segmentation technology; constructing a regularization model of soil quality evaluation based on the texture information of the soil feature region, and constructing a minimization problem of the soil quality evaluation according to the regularization model; calculating parameters of soil quality evaluation based on a minimization problem, wherein the parameters comprise indexes such as soil particle size distribution and soil humidity; and according to the calculated soil quality evaluation parameters, evaluating the crushed soil quality of the rotary cultivator to obtain a final crushed soil quality evaluation result. According to the method, key indexes such as soil particle size distribution and humidity can be rapidly and accurately evaluated, and the efficiency of agricultural mechanized operation and the quality of soil cultivation are improved.

The invention, which relates to the technical field of agricultural mechanization, provides a multi-source-fusion-based holographic sensing intelligent module for farming machinery, comprising a plurality of independent sensor units. And the data processing unit is used for receiving and storing various data acquired by the plurality of independent sensor units, the data processing unit adopts a multi-source data fusion algorithm based on a traditional rule, and the various data comprise soil humidity, meteorological conditions, crop growth states, mechanical motion states and energy efficiency data in the cultivation process. According to the multi-source fusion-based holographic sensing intelligent module for the farming machine, the flexibility and response speed of farming operation are remarkably improved, the operation quality is effectively improved, energy consumption and resource waste are reduced, and agricultural production is further promoted to develop towards the efficient and sustainable direction.

The invention relates to the technical field of agricultural mechanization and automation, in particular to a citrus mechanized picking optimization method and system, and the method comprises the following steps: obtaining an initial color image and an initial depth image of a fruit tree before citrus picking; constructing an image recognition model to recognize the initial color image, determining a pickable citrus, a target citrus branch and a target branch node in combination with the initial depth image, and preliminarily determining a citrus picking sequence; color images and depth images of citrus fruit trees are collected in real time so as to track and position pickable citrus and target citrus branches, and meanwhile citrus picking is prepared; when citrus picking is prepared, the pose of the manipulator is predicted according to the tracking and positioning result, and the citrus picking sequence is adjusted if necessary. According to the method, the accuracy of orange identification in a complex environment can be improved, the orange picking sequence can be reasonably adjusted according to a real scene, and the safety and accuracy of orange picking are improved.

The utility model relates to the technical field of agricultural harvesters, in particular to a ton bag storing and discharging device, and aims to solve the problem that a harvester needs to be shut down when a ton bag is replaced. The device comprises a temporary storage hopper arranged on the harvester and used for temporarily storing materials, and a discharging opening is formed in the bottom of the temporary storage hopper and used for conveying the materials into a ton bag below. And a buffer baffle assembly is arranged on the outer side of the buffer hopper, material falling can be flexibly managed by controlling the assembly, and it is ensured that the machine does not stop running. The ton bag replacing device is reliable in structure, improves operation efficiency and continuity, reduces manual intervention, achieves rapid ton bag replacing under the non-stop condition, and meets the requirement for efficient and continuous operation of modern agricultural mechanization.

The invention discloses an intelligent reflective film tiling machine for an apple orchard and a control method of the intelligent reflective film tiling machine. The tiling machine comprises a mechanical execution module, an intelligent control module, an environment perception module, an energy management module and a man-machine interaction module, the intelligent control module completes path planning, obstacle avoidance and instruction issuing by means of an ROS system; the environment sensing module is fused with multiple sensors to realize accurate positioning and quality monitoring; the energy management module is based on solar power supply, energy-saving and environment-friendly; the man-machine interaction module supports remote control and state monitoring. Through the integrated improved design of a mechanical structure, intelligent control, multi-source sensing and energy management, full-flow automation of reflective film laying, quality monitoring precision and energy utilization environmental protection are achieved, the operation efficiency and quality are improved, and agricultural mechanization and intelligent development is promoted.

The utility model relates to the technical field of agricultural mechanization, in particular to a mechanical agricultural mulching film machine, which comprises a machine frame and wheels arranged at two ends of the machine frame, and is characterized in that mulching film placing components are respectively arranged on two sides of the middle rear end of the machine frame, a pressing wheel component is arranged at the rear end of each mulching film placing component, and a pressing wheel is arranged on the pressing wheel component. A soil shoveling assembly is arranged at the rear end of each pressing wheel assembly; the mulching film placing assembly not only can be suitable for mulching film reels with different widths, but also can adjust the placing height of the mulching film, and is wide in application range and convenient to operate; according to the pressing wheel assembly, the height of the rubber wheel for pressing the film can be adjusted up and down, it is ensured that the pressing wheel is attached to the ground, and the film covering effect is improved; the soil shoveling assembly shovels soil to the two sides of a mulching film to press the mulching film after film mulching and pressing, manual soil covering and film pressing are not needed, and the mulching film can be effectively prevented from being blown up by wind.

The invention provides an agricultural machinery equipment identification method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an agricultural machinery equipment target image, carrying out the first type and second type information labeling of the target image according to the standard of agricultural machinery classification (NY / T1640-2021), and building a target image data set; according to an SIFT + PCA data preprocessing method, performing feature extraction and screening on the target image data set to obtain a target image feature data set; training a two-layer classification model corresponding to the target image feature data set through an SVM algorithm; inputting a target image online; and according to the SVM two-layer classification model, analyzing the preprocessed online target image feature data, and identifying the agricultural machinery equipment type online. According to the method, agricultural machinery equipment of different types and different models can be quickly and accurately identified, and reliable technical support is provided for online search, consultation, popularization and application of agricultural machinery technology and equipment thereof.

The crawler-type intelligent tea picking robot comprises a crawler-type movable chassis, a liftable aluminum alloy platform, a three-axis linear module system and an end executor, the liftable aluminum alloy platform is located on the crawler-type movable chassis, the three-axis linear module system is installed on the liftable aluminum alloy platform, and the end executor is installed on the three-axis linear module system. According to the intelligent tea picking robot, multi-axis cooperative control, intelligent visual recognition and complex terrain self-adaptive capacity are integrated, the terrace tea picking automation level and operation efficiency are remarkably improved, and an efficient and reliable solution is provided for agricultural mechanization in hills and mountains.

The present application belongs to the field of agricultural mechanization and precision agriculture technology, and particularly relates to a farm machine operation quality monitoring system and method based on RTK high-precision positioning, which comprises a separated monitoring device arranged outside the agricultural machine, a cloud platform and a user terminal. The separated monitoring device comprises an RTK positioning module, a multi-protocol CAN port module, a data buffer module and a wireless communication module, and realizes independent collection and real-time uploading of centimeter-level operation track and farm tool operation parameters. The cloud platform has functions of row distance dynamic analysis, speed compliance evaluation, operation coverage analysis and multi-source fusion evaluation, and can generate operation heat maps and comprehensive quality evaluation reports. The user terminal is used for visual display and cost accounting during operation. The system can realize data neutrality, quality traceability and operation collaborative scheduling during the whole process of agricultural machine operation, significantly improves operation efficiency and management transparency, and is suitable for large-scale agricultural production and socialized agricultural machine service quality supervision scenarios.

The application provides a double-perturbation soil loosening and root cutting Cistanche seed sowing machine, and belongs to the field of agricultural mechanization equipment. A transverse beam of a machine frame is fixed with a transmission seat plate, a soil loosening frame is slidably inserted into the transverse beam, an adjusting cylinder is hinged at one end of the transverse beam, an extension rod of the adjusting cylinder is hinged on the soil loosening frame, a suspension frame is fixed on one side of the transmission seat plate, and the seed sowing machine is hung on the suspension system of a tractor through the suspension frame. A transmission box of the soil loosening device is installed on the transmission seat plate of the machine frame and is connected with a power output shaft of the tractor through a transmission shaft, a soil loosening assembly is supported on the soil loosening frame and is connected with the transmission box through a universal shaft, a seed sowing device is installed on the soil loosening frame, and each seed feeding section of a seed guide tube is supported on a guide tube plate of the soil loosening frame of the machine frame. When the tractor drives the seed sowing machine to run, the seed sowing device sows Cistanche seeds in the loose soil groove formed after the soil loosening of the soil loosening device. The application can uniformly sow along the whole groove in three dimensions, accurately cuts the root system of the parasitic plant, and has high operation reliability.

The invention relates to the technical field of intelligent agricultural machinery, and discloses an intelligent crop recovery system based on carbon circulation, which comprises an impurity removal device, a sorting device, a drying device, a transmission device, a storage device, a carbon dioxide supply device and a plant greenhouse, the feeding end of the sorting device is arranged at a discharging port of the impurity removal device, the discharging end of the sorting device communicates with a feeding port of the drying device through a pipeline, and the conveying device is arranged between the drying device and the storage device; the top of the storage device is communicated with the carbon dioxide supply device, and the bottom of the storage device is communicated with the plant greenhouse, so that the crop storage efficiency is improved, chemical residues are reduced, environmental pollution is reduced, and efficient cleaning, drying, storage and waste gas recycling of crops are achieved; the mechanization degree in the crop recycling process is higher, the operation difficulty of farmers is reduced, and the development of intelligent agricultural mechanization is promoted.

Methods, devices, and systems, that relate to mechanization of agricultural tasks, including a dual robotic tool carrier configured to be mounted on two sides of a tractor or other type of vehicle and employing imaging and artificial intelligence to perform agricultural tasks, such as pruning, cutting vegetables, or weeding crops along two rows of the crops simultaneously.

The utility model relates to a poly V-belt-gear transmission mechanism of a yaw tractor, and belongs to the technical field of agricultural machinery in hilly and mountainous areas. According to the mechanism, through innovative integration of multi-wedge belt flexible transmission and gear rigid transmission, automatic compensation of axis deviation and efficient power transmission are achieved. Specifically, a poly V-belt wheel 1 is connected with an output shaft of an engine through a spline, power is transmitted to a poly V-belt wheel 2 through a poly V-belt, and the high friction coefficient and the elastic deformation capacity of the poly V-belt are utilized to adapt to dynamic axis changes; the rotating center shaft is connected with a gearbox input shaft through a gearbox assembly, rigid transmission is completed through a cylindrical gear set, and the stability under the large load is ensured. The tensioning wheel assembly provides constant tension to prevent slipping; the deep groove ball bearing supports all rotating parts, and friction loss is reduced. The flexible transmission mechanism has the self-adaptability of flexible transmission and the high-efficiency reliability of gear transmission, the transmission efficiency, the equipment service life and the safety of a tractor in hilly and mountainous area operation are remarkably improved, and a low-cost solution is provided for agricultural mechanization in complex terrains.

The invention discloses a yield measurement method and system based on grain accumulation form online identification and measurement, and relates to the field of agricultural machinery intelligence. Acquiring a first operation position, an operation speed and a header image of the current harvester, and calculating a current actual effective cutting width according to the header image; when the current output voltage of the proximity switch is a high level, collecting a grain image on a scraper of the elevator, constructing a grain three-dimensional accumulation model based on the grain image in combination with the reconstructed three-dimensional point cloud, and calculating the grain volume; obtaining the water content of the current grain, and converting the volume of the grain into the weight of the grain; and acquiring a real-time second operation position of the harvester, calculating an effective harvesting length in unit time and calculating a harvesting area in unit time by combining the first operation position and the operation speed, and further completing calculation of the grain quality and the yield of the land parcel. According to the invention, key technical support is provided for intelligent and precise upgrading of agricultural mechanization.

The utility model discloses a longitudinal slitting device for rice seedlings in upper bowls and lower blankets, which belongs to the field of agricultural mechanized rice seedling throwing machinery and comprises a seedling box, a frame, a conveying device, a seedling separating device and a slitting device, the seedling box is fixed at the top end of the frame, and the seedling separating device is fixedly arranged in the seedling box. A through hole is formed in the bottom end of the seedling box so that the bottom end of the seedling separating device can be fixed to the rack, the conveying device and the slitting device are both arranged at the bottom end of the rack, and the seedling separating device can separate a plurality of seedlings and accurately position the seedlings and is matched with the slitting device to perform accurate slitting at the same time; the seedling separating device is arranged, under the action of gravity, seedlings can be accurately separated and positioned by the seedling separating device, so that the strip cutting device is faster in cutting, and the strip cutting working efficiency is improved.

This invention relates to the field of agricultural mechanization technology and discloses a robot system for fruit thinning. The system includes a vehicle body with a mounting base fixedly connected to its top. A movable arm is mounted on the outside of the mounting base, and a mounting plate is mounted at the other end of the movable arm. Multiple electrically operated telescopic rods are rotatably connected to the outer wall of the mounting plate, and movable frames are rotatably connected to the other ends of each of the multiple electric telescopic rods. Soft cloth covers are connected between the multiple movable frames. A guide cylinder is fixedly connected to the center of the mounting plate, and multiple fixed seats are fixedly connected to the outer wall of the guide cylinder. By installing a collection component and a thinning component on the movable arm, excess fruit, leaves, and branches after pruning can be recycled and processed into nutrients to provide nourishment for fruit trees or other plants. This effectively reduces waste generation and provides a better environment for the orchard.