"The tool helps fish farmers to separate their fish according to size, weight, and quality more quickly and saves energy," Ikhwana Aisyah, the student groups coordinator, said here on Wednesday (July 5).
According to Aisyah, the inspiration to invent the tool was drawn from the sorting problems faced by several fish farmers. During this time, most of these farmers still used a traditional method of grading by using cans, glasses, or basins.
"Using this method, the result is not optimal and takes a lot of time, as the number of fish is too high to do this task manually," she pointed out.
Another member, Nizar Akbar Meilani, said the technology was developed based on the Internet of Things that can be accessed by fish farmers through the use of the ARM-32 bit microcontroller and STM32F4 IC, which increases the processing speed of the tool.
"The technology is also equipped with supporting sensors in the form of photoelectric sensors that have a high degree of accuracy in the automation industry," she remarked.
The technology is expected to help fish farmers in cultivating and marketing their fish products and improving their welfare.
Other members of the student group that developed the V-Sorter are Muhammad Hadyan Akbar, Revaldy Imani Chairistian, and Ratya Prabaswara.(*)