Design of Automatic Harvest System Monitoring for Oyster Mushroom Using Image Processing

DOI

10.2991/icst-18.2018.31How to use a DOI?

Keywords

Smart greenhouse; android; image processing; edge detection; harvest

Abstract

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icst-18.2018.31
ID  - Rahmawati2018/12
ER  -