The fruit picking robot was an intelligent mobile robot system based on autonomous driving and machine vision technology. The robot system had the features of autonomous driving, machine vision, maneuverability, and remote control. It installed high-precision sensors to detect the location, maturity, and size of the fruit to determine the location and method of picking. The system also included a robotic arm, an end executor, a control system, and a vision system. Using an autonomous navigation system and Slam algorithm to construct a navigation map, the robot could move independently in the orchard and identify the location of the target fruit through image processing algorithms. The robotic arm performed inverse kinematical calculations based on the coordinates of the fruit, driving the joint motor to the designated target point. The end-executor corrected the picking posture in real time to grab and cut. The design also used deep learning algorithms to identify and locate fruits and vegetables, and through the Internet of Things technology, the harvesting information and robot status were transmitted to the cloud for monitoring. In short, the design of the fruit picking robot combined autonomous driving, machine vision, and Internet of Things technology to achieve automated picking, improve the precision, efficiency, and quality of picking, and bring more benefits to agricultural production.
The graduation project topic of the fruit picking robot was the structure design and control system analysis of the apple picking robot. The purpose of this design was to solve the problem of the difficulty of apple picking and the low level of automaton. At present, there were some shortcomings in the structural design of the apple picking robot, so it was necessary to design a serial apple picking mechanical structure with six degrees of freedom. In addition, there were other designs related to fruit picking robots, such as the mechanical body design of fruit picking robots, the design of strawberry picking robots, and the research of fruit picking robot control systems. However, for the specific content and results of the graduation project, please refer to the relevant literature. The search results did not provide a specific design plan and conclusion.
Zhongnong Chunyu Fruit Picking Garden was a fruit picking base under Zhongnong Chunyu High-tech Co., Ltd., located in the east of Pi Village, Jinzhan Township, Chaoyang District, Beijing, close to Wenyu River. The picking garden covered an area of more than 300 mu and planted more than 150 excellent varieties of fruit trees at home and abroad, including cherry, peach, pear, apricot, apple, plum, grape, jujube, walnut, almond and other ten northern decision-making fruit trees. The park provided a place for leisure picking and business meetings, and there was a fruit picking feature every day. In addition, Chengdu's Jintang Lizi Village Farm was also a fruit picking garden worthy of recommendation. It focused on planting plums, grapes, mandarin oranges and other fruits for more than 20 years, providing fresh and direct supply of ecological fruits. Other areas such as Beijing, Tianjin, Zhengzhou, Nanjing, Fengxian, etc. also had their own fruit-picking gardens, providing fruit-picking activities in different seasons. The specific picking time and species could vary according to different regions and seasons.
The following are some of the fruit picking seasons: - [Red heart kiwifruit: harvested around July, but can only be eaten after ripening.] - Ehime No. 38 Jelly Orange: Pick after mid-October, the fruit will turn golden yellow. - Rake mandarin: It is picked in early December, but it has fruit acid at this time. It is pure sweet in February and March. - Banana trees: June to August is the harvest season when the fruits are ripe. - Kiwifruit: April is the best season for pollen. The yield and harvest of kiwifruit in October are related to the quality of pollen. - Green jujube: harvested from January 10th to April 20th. It is a rare tropical fruit. - Loquats: harvested from late March to April, ripens earlier than other fruits. - Peaches: harvested from mid-April to mid-June. However, the search results did not provide information on the harvesting season of other fruits.
The fruit-picking campaign was a publicity tool used to attract people to participate in fruit-picking activities and convey the characteristics and charm of the event. The document could highlight the freshness, sweetness, and health of the fruit, while emphasizing that picking was an intimate experience with nature. It could describe the joy and joy of picking, as well as the good times shared with family or friends. The script could also let people feel the beauty and tranquility of nature by describing the scenery and atmosphere of the orchard. In addition, the copywriting could also use some vivid metaphor and description to resonate with the readers and stimulate their interest and enthusiasm in participating in the harvesting activities. In short, the fruit-picking script should be accurate, attractive, and able to convey the core message and attraction of the event.
We can get some information about the design of the fruit sorter. According to document [1], the design of the fruit sorter mainly involved the conveying device, motor, conveyor belt, and drum. The documents [2] and [5] mentioned a new generation of fruit sorter equipment that used control circuits, transmission mechanisms, and image processing. It could sense fruits through a photo sensor and take pictures through a camera for analysis. The document [4] mentioned a fruit sorting system based on machine vision, which could identify the type of fruit and control the robot to sort the fruit to the designated location. The documents [6] and [7] mentioned a fruit sorting system based on a CPU, which could combine sensing technology, control principles, and mechanical execution devices to achieve automatic sorting and sorting. The document [9] mentioned a fruit sorting automatic line system based on the control of a CPU, which used sensors and a conveyor belt to sort the fruits. In summary, the design of the fruit sorter can include the techniques and devices of the conveying device, motor, conveyor belt, image processing, machine vision, and the control of the machine.
The fruit sorting robot was a robot that could automatically complete the fruit sorting task. It integrated voice control, sorting, transportation, identification, grabbing, and other functions, and was made using standard parts of the Explorer. These robots could read the voice and recognize the data through the voice module, and then analyze the materials that needed to be grabbed according to the data. Some robots also used advanced color recognition sensors to judge and identify materials. Through the control module driving the expansion board, the robot's mechanical arm could grab objects. The AI fruit sorting robot was a kind of equipment that could independently complete the entire process of fruit post-harvest. It could avoid collisions and errors in the traditional manual sorting process and improve the sorting efficiency. Some robots were also equipped with intelligent central control operating systems that could automatically collect data during the sorting process and generate analysis reports to help companies grasp the information of each batch of fruits. These robots had high application value in the field of fruit sorting.
We can get some information about the fruit-picking activity plan. According to documents [1] and [4], the fruit picking activity was to enrich the spare time of employees, enhance communication between employees, and let employees walk into nature and feel nature. The event was usually organized by the trade union, and the picking activities were carried out in groups. Each team needed to arrange their own vehicles for the event and be responsible for the safety of their personnel. After the event, they would also collect excellent articles and photographs about picking fruits for publication in the company's newspapers and website. In addition, documents [2] and [5] mentioned other types of orchard picking activities, such as parent-child activities, research activities, and festival activities. The purpose of these activities included increasing the knowledge of agriculture, developing hands-on and observational skills, and increasing the understanding of fruits. In summary, the specific arrangement and content of the fruit-picking activity plan may vary according to the purpose of the activity and the participants. However, the search results provided did not provide more specific details. Therefore, we can't give an accurate answer to the specific fruit-picking activity plan.
We can get some information about the graduation design of the fruit sorter. The fruit sorter was designed to achieve an efficient and accurate fruit sorting process. The automated fruit sorting system had the advantage of improving efficiency and accuracy compared to the traditional manual sorting method. The design of the fruit sorter needed to consider the structure of the sorting device and the optimization of the control system. In addition, the design also needed to solve some challenges in the fruit sorting process, which required further research and improvement. According to the information provided, we are unable to know the details and plans of the graduation design of the fruit sorter.
Some information about the mechanical design of the fruit sorting machine. The documents [1] and [2] mentioned that the design of the fruit sorter mainly involved the conveying device, the motor, the conveyor belt, and the roller. The document [3] mentioned that the roller grader of the size grading equipment was suitable for grading most spherical fruits and vegetables. The document [5] mentioned the design of a new fruit grading mechanism, which was composed of a grading drum, a transmission mechanism, and an electric motor. Based on this information, it could be concluded that the mechanical design of the fruit sorter mainly included the conveying device, the motor, the conveyor belt, the drum, and the grading drum. The specific design plan might require further detailed information and calculations.
The fully automatic fruit tree picker was a device that used artificial intelligence and mechanical technology to automatically identify ripe fruits and pick them. These machines are usually equipped with cameras and sensors that can determine the ripeness and position of the fruit through sight and touch. Some fully automatic fruit tree pickers also had mechanical arms and gripers that could gently pick fruits without damaging them. These machines could move automatically in the orchard and store the harvested fruits in the storage bin. The emergence of fully automatic fruit tree pickers could improve the efficiency of picking, reduce labor costs, and ensure the quality and integrity of the fruit.