Abstract
A machine vision system for detecting apples in orchards was developed. The system was designed to be used in harvesting robots and is based on a YOLOv3 algorithm with special pre- and post-processing. The proposed pre- and post-processing techniques made it possible to adapt the YOLOv3 algorithm to be used in an apple-harvesting robot machine vision system, providing an average apple detection time of 19 ms with a share of objects being mistaken for apples at 7.8% and a share of unrecognized apples at 9.2%. Both the average detection time and error rates are less than in all known similar systems. The system can operate not only in apple-harvesting robots but also in orange-harvesting robots.
Highlights
As a result of intensification, mechanization, and automation, agricultural productivity has increased significantly
In the apple-harvesting robot we are developing, the machine vision system is based on a combination of two stationary Sony Alpha ILCE-7RM2 cameras with
The results turned out to demonstrate that the YOLOv3 algorithm could be used in harvesting robots in order to detect apples in orchards effectively
Summary
As a result of intensification, mechanization, and automation, agricultural productivity has increased significantly. In developed countries, the number of people employed in agriculture decreased by 80 times during the 20th century. Manual labor is the main component of costs in agriculture, reaching 40% of the total value of vegetables, fruits, and cereals grown [1,2]. Horticulture is one of the most labor-intensive sectors of agriculture: the level of automation in horticulture is about 15%, fruit harvesting is done manually, and crop shortages reach 50%. It is evident that the widespread use of robots can bring significant benefits in horticulture, increase labor productivity, reduce the share of heavy manual routine harvesting operations, and reduce crop shortages
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
