Jakarta, INTI – Universitas Muhammadiyah Yogyakarta (UMY) has once again introduced an innovation in technology. Through a team of lecturers from the Professional Engineer Study Program, UMY has developed an AI based automatic fruit sorting machine. This innovation aims to address the issues of manual sorting, which is time consuming, costly, and often inconsistent. The device uses a conveyor system and a specialized mechanical arm to sort fruits. With an accuracy of over 90 percent, this technology is expected to improve the quality of Indonesia’s mangosteen exports.
How the Automatic Fruit Sorting Technology Works
The machine is equipped with a conveyor belt that carries fruits into a special chamber. Inside, two cameras are installed to capture images from the top and sides. These images are then analyzed using image processing technology to accurately measure the size of the fruit. In addition, the system can determine the ripeness of the mangosteen with the help of AI using the SVM method. Based on the analysis, fruits are automatically categorized into large, medium, or small sizes. The sorting process is carried out by a patented mechanical arm, making the entire process fully automatic without human contact.
High Accuracy and Development Potential
Laboratory tests show that the device can sort fruits with over 90 percent accuracy for size and effectively detect the ripeness of mangosteen. Another advantage of this technology is its flexibility, as the system can be reprogrammed according to needs. This means it can also be used to sort other fruits such as apples, oranges, or even durians. According to Tony Khristanto Hariadi, a lecturer in the Professional Engineer Study Program at UMY, this innovation is expected to help the agricultural industry while improving the competitiveness of local fruits in the international market.
Towards Field Testing and Mass Production
Currently, UMY’s automatic fruit sorter is being tested in the laboratory. The research team plans to conduct field trials soon to evaluate its performance under real conditions. If results meet expectations, the next step is mass production so that farmers, cooperatives, and fruit exporters can use the device. The hope is that this innovation will not only improve the quality of mangosteen exports but also serve as a major breakthrough for modernizing agriculture in Indonesia.
Conclusion
UMY’s AI-based automatic fruit sorting technology represents an important step in enhancing the competitiveness of Indonesian fruits in the global market. With high accuracy, fast operation, and applicability to various types of fruits, this technology opens great opportunities for improving export quality while easing the workload for farmers.
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