A Review of Target Recognition Technology for Fruit Picking Robots: From Digital Image Processing to Deep Learning

Machine vision technology has dramatically improved the efficiency, speed, and quality of fruit-picking robots in complex environments. Target recognition for fruit is an integral part systems picking robots. The traditional digital image processing a method based on hand-designed features, which makes it difficult to achieve better as results dealing with changing orchard environment. Numerous pieces literature have shown that extracting special features by training data deep learning significant advantages In addition, realize fully automated picking, reconstructing fruits three dimensions necessary measure. this paper, we systematically summarize research work target techniques recent years, analyze technical characteristics different approaches, conclude their development history. Finally, challenges future trends are pointed out.