Design of Automatic Harvest System Monitoring for Oyster Mushroom Using Image Processing
Diana Rahmawati, A. Fiqhi Ibadillah, Miftachul Ulum, Heri Setiawan
Available Online December 2018.
- https://doi.org/10.2991/icst-18.2018.31How to use a DOI?
- Smart greenhouse; android; image processing; edge detection; harvest
- The aim of this study is designing a system which can automatically detects the harvest time of the plant, using data from camera, using image processing. Phase one of our project depends on designing a harvest time decision maker system using image processing. Phase 1, plant grown using Smart greenhouse automation is done. Then, we design integrated system to detect real time harvest time, Ana it is discussed using implementation of IoT and analog devices. In order to detect the harvest time, we use the edge detection algorithms. The result of this study, show quality of the plant, which have 15% of error rate at the left sector, and 20 % of error rate at the right sector.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Diana Rahmawati AU - A. Fiqhi Ibadillah AU - Miftachul Ulum AU - Heri Setiawan PY - 2018/12 DA - 2018/12 TI - Design of Automatic Harvest System Monitoring for Oyster Mushroom Using Image Processing BT - Proceedings of the International Conference on Science and Technology (ICST 2018) PB - Atlantis Press SP - 143 EP - 147 SN - 2589-4943 UR - https://doi.org/10.2991/icst-18.2018.31 DO - https://doi.org/10.2991/icst-18.2018.31 ID - Rahmawati2018/12 ER -