Fragrant Pear Target Identification and Positioning Based on Deep Learning

In the rapid development of artificial intelligence technology, scholars around the world based on the research results of various stages, the relevant technical theories are applied to various fields, not only comprehensively improve the level of social and economic development but also create a digital and intelligent social environment. Especially for the agricultural field, the traditional artificial picking method has been unable to meet the needs of people, it is easy to harm the safety of people and property during the work, the time cost of picking work is too high, so under the development trend of artificial intelligence, it is necessary to focus on the research of picking machines. This paper aims to explore the application value of target recognition and positioning for fragrant pear, by discussing deep learning-centered research on target recognition and positioning based on a comprehensive understanding of the development status of modern agricultural picking work, in accordance with the fundamental principles of deep learning.