Zoranovic, T. and Erceg, V. and Berkovic, I. (2018) IoT project in agriculture. “St Kliment Ohridski” University - Bitola, Faculty of Information and Communication Technologies-Bitola, Republic of Macedonia, pp. 17-21. ISBN 978-9989-870-80-4
Full text not available from this repository.Abstract
The exclusion of a man from permanent, routine tasks
is the goal of automation. Irrigation is one of the activities that can be automated in a simple and inexpensive way. One possible solution for automatic irrigation of plant crops is shown in this paper (for tomatoes, but the solution is also applicable for cultivation of all other plants, maintenance of lawns, irrigation of orchards, etc.). The solution is realised on Raspberry Pi 3 Rev B platform with connected sensors for temperature and humidity measurement DHT22, temperature sensor DS18b20, soil humidity sensor and 8 relay board. The irrigation management is based on requirements of the technological production of the quantity of the needed water for tomatoes, according to the formed table for each day of the plant’s growth and based on the measured soil moisture. All data is recorded in the MySQL database in order to be analyzed and to enable the correction of irrigation norms.
Based on the competed experiment results have shown that the external appearance, quality and yield of tomatoes is excellent, as the plants always have optimal soil moisture. Additionally, this is a cheap solution for almost completely autonomous system. The system can be managed via Internet (SSH), as the current state can be controlled via WWW. Only requests are that the Apache server is previously installed and the existence of the wireless connection on Raspberry.
| Item Type: | Book |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Mrs Natasha Blazheska-Tabakovska |
| Date Deposited: | 01 Mar 2019 22:52 |
| Last Modified: | 13 May 2019 08:55 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/1484 |
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