RECENT ADVANCES SURVEY IN COMPUTER VISION AND ARTIFICIAL INTELLIGENCE FOR FRUIT DETECTION

Abstract

With the development of society and the advancement of science and technology, the object detection technology driven by Artificial Intelligence is also constantly innovating. As an important task in the field of agricultural Computer Vision, fruit detection in real environments faces many challenges. This paper reviews and analyzes the latest breakthroughs and representative studies in this field. Based on the existing research, the existing fruit detection algorithms are roughly divided into 5 categories: (1) the traditional fruit detection algorithm based on manual features; (2) the fruit detection algorithm based on two stages; (3) the fruit detection algorithm based on one stage; (4) the fruit detection algorithm based on anchor-free frame, and (5) the fruit detection algorithm based on transfer learning. This paper also discusses various application scenarios, such as multi-object detection, complex backgrounds, and edge computing. It also summarizes the classic and cutting-edge technical methods at the current time point, providing valuable insights for fruit detection in agricultural production.