Open Access
Issue |
BIO Web Conf.
Volume 96, 2024
The 2nd Unhas International Conference on Agricultural Technology (UICAT 2023)
|
|
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Article Number | 04004 | |
Number of page(s) | 7 | |
Section | Soil, Water, and Environment Conservation | |
DOI | https://doi.org/10.1051/bioconf/20249604004 | |
Published online | 27 March 2024 |
- W. Goldramijaya, N. Sulastri, I. A. S. Wijaya, I. G. Budisanjaya. The Development of Greenhouse Air Humidity Control System Using PWM (Pulse Width Modulation). Journal Biosistem dan Teknik Pertanian, 11 (2023). [Google Scholar]
- S. N. Faridah, H. Mubarak, T. A. A. Jamaluddin, S. Samsuar. Morphology and physiology of kale plants under excess and deficient water condition, Int. J. Veg. Sci., 29, 4 (2023). [Google Scholar]
- H. Sujadi,Y. Nurhidayat. Smart Greenhouse Monitoring System Based on Internet of Things. Jurnal J-Ensitec, 6, 1 (2019). [Google Scholar]
- K. P. K. Rianti,Y. Prastyo. Analisis Penggunaan Sensor Suhu Dan Kelembaban Untuk Monitoring Lingkungan Greenhouse Berbasis Arduino. Antivirus : Jurnal Ilmiah Teknik Informatika, 16, 2 (2022) [Google Scholar]
- D. B. Simanjuntak, B. Widodo, J. Ignatius. Sistem Pengendalian Suhu dan Kelembaban pada Bilik Disinfektan Berbasis Blynk Dengan Menggunakan NodeMCU ESP8266. 4 (2021) [Google Scholar]
- F. Puspasari, T. P. Satya, U. Y. Oktiawati, I. Fahrurrozi, H. Prisyanti. Analisis Akurasi Sistem Sensor DHT22 berbasis Arduino terhadap Thermohygrometer Standar. Jurnal Fisika dan Aplikasinya, 16, 1 (2020) [Google Scholar]
- R. Friadi, Junadhi. Light Intensity Control System, Temperature and Air Humidity in the Greenhouse Raspberry PI based. JTIS, 2, 1 (2019). [Google Scholar]
- B. Orene. Artikel ilmiah jurusan budidaya pertanian universitas tanjungpura pontianak. Journal of Agrotech, 10 (2020). [Google Scholar]
- Marliyantii, Sukmawaty, G. M. D. Putra. Sistem Monitoring Greenhouse Berbasis Mikrokontroler Arduino Uno “Studi Kasus Tanaman Bayam Merah (Amaranthus tricolor) (Universitas Mataram, Mataram, 2018). [Google Scholar]
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