Vegetable and fruit picking robot system and structure based on artificial intelligence recognition

Abstract

The invention relates to the technical field of agricultural picking, and discloses a vegetable and fruit picking robot system and structure based on artificial intelligence recognition, and the technical scheme is characterized in that the system comprises a robot, and the robot comprises a first manipulator, a second manipulator and a moving mechanism. The fruit and vegetable image database and the obstacle image database are established, the fruit and vegetable image database and the obstacle image database are established, in this way, in the automatic picking process, the fruit and vegetable image database and the obstacle image database can be automatically picked, and the fruit and vegetable picking efficiency is improved. According to the method, the target fruit and the obstacle can be quickly identified by using powerful data, the subsequent picking efficiency is improved, and a new target fruit feature model and a new obstacle feature model can be obtained and stored in the corresponding database in each picking, so that the robot completes self-learning in each picking.

Description

technical field [0001] The invention relates to the technical field of agricultural picking, and more specifically relates to a vegetable and fruit picking robot system and structure based on artificial intelligence recognition. Background technique [0002] After industrial production enters the era of robots, forestry and agriculture will surely enter the era of robots. Fruit picking is the most time-consuming and labor-intensive link in the production chain. Picking operations are highly seasonal, labor-intensive, and expensive. Therefore, ensuring timely harvesting of agricultural products and reducing harvesting costs are important ways to increase agricultural income. At present, most fruits and vegetables in China are picked manually, and the picking cost accounts for about 50% to 70% of the cost. The role of picking robots is to reduce labor intensity and production costs, improve labor productivity and product quality, and ensure timely harvesting of agricultural pr...

AI Technical Summary

Problems solved by technology

[0003] Existing picking methods for automatic fruit and vegetable picking robots usually use a binocular stereo vision positioning system and use a filter in front of the camera to obtain fruit and vegetable spectral reflection characteristics for fruit and vegetable identification and picking, but the picking success rate of this picking method is Usually 60% to 75%, leading to problems such as high picking cost and too long invalid picking time, and in the actual use of this picking method, once there is an obstacle blocking the fruits and vegetables in the image, it will affect the subsequent picking. Work is easily disrupted

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