| Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
|
|
|---|---|---|
| Article Number | 02071 | |
| Number of page(s) | 14 | |
| Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202346502071 | |
| Published online | 18 December 2023 | |
Design of Unmaned Surfaces Vehicle System Based on Coordinates and Internet of Things for Semi Automatic Shrimp Feeding
1 Department of Electrical Engineering Sebelas Maret University Surakarta, Indonesia
2 Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia 86400
3 Department of Electrical Engineering Sebelas Maret University Surakarta, Indonesia
* Corresponding author: feri.adriyanto@staff.uns.ac.id
This research develops an automatic feeder vessel for catfish farming. The aim is to increase the efficiency of feeding. In trials, the ship produced 113 grams of feed in 10 seconds and 716 grams in 60 seconds. Ship speed and radius affect GPS accuracy. The implementation of automatic feeding vessels in ponds worked well, following routes, providing feed according to the program, and transmitting data via IoT. This research contributes to overcoming the problem of equal distribution of feed in catfish farming with automatic feeders to increase the efficiency and productivity of aquaculture.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.