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Therefore, this research presented a detection method based on monocular machine vision to detect lychee fruits growing in overlapped conditions. ... the detection accuracy of lychee fruits in natural orchard environments. ... Conclusions This study proposed a two-step detection method for lychee clusters using monocular machine vision technology for yield estimation in orchard environments. ...doi:10.3390/s19194091 fatcat:tkc4zlzqjvffjaiisa3gse56j4
The two main methods used in fruit recognition and localization are reviewed, including digital image processing technology and deep learning-based algorithms. ... The utilization of machine vision and its associated algorithms improves the efficiency, functionality, intelligence, and remote interactivity of harvesting robots in complex agricultural environments. ... The binocular stereo vision detection technology is based on monocular vision. Early monocular vision systems used a single camera to detect one two-dimensional image of the target. ...doi:10.3389/fpls.2020.00510 pmid:32508853 pmcid:PMC7250149 fatcat:zaxmjf6cjjff5du7f2n7wunmvy
in the natural environment, fruit recognition from the complex backgrounds, target stereo locating and measurement, and fruit search among the plants. ... Fruit visual information is essential to guide robotic harvesting. However, obtaining accurate visual information about the target is critical in complex agricultural environments. ... The fresh fruit harvesting robot in the orchard environment mainly took apple, kiwi, and citrus fruits as the objects. ...doi:10.3390/agronomy12061336 fatcat:qahdkoykirc25gdipi2cf5er6u
Multi-target recognition and positioning using robots in orchards is a challenging task in modern precision agriculture owing to the presence of complex noise disturbance, including wind disturbance, changing ... Thus, the cutting point on the inflorescence axis was identified using an edge detection algorithm and geometric calculation. ... In banana orchards, machine vision and deep learning algorithms have been successfully applied to the classification and detection of a single target, such as fruits or stems. ...doi:10.3389/fpls.2021.705021 pmid:34795680 pmcid:PMC8592935 fatcat:hw4tgvvgbrbcfm7mox3vvopf6a