2020 |
Marwa, C.; Othman, S. B.; Sakli, H. IoT Based Low-cost Weather Station and Monitoring System for Smart Agriculture Conférence Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 9781728188157, (cited By 22). Résumé | Liens | BibTeX | Étiquettes: Agricultural productivity; Agriculture sectors; Environmental data; Environmental parameter; Internet of thing (IOT); Real time monitoring; Reference modeling; Smart agricultures, Agricultural robots; Agriculture; Automation; Climate change; Costs; Digital storage; Process control; Productivity; Rain, Internet of things @conference{Marwa2020349, It is estimated that the world’s population will be about 9.1 billion by 2050. The UN FAO has reported that food production would need to be increased by approximately 70 percent to feed this increased population. Therefore, to ensure high yields and farm profitability, it is very important to improve agricultural productivity. In this sense, the technology of the Internet of Things (IoT) has become the key road towards novel practice in agriculture. In the agriculture sector, climate change is also a major concern. A solution to completely satisfy the requirements of automated and real-time monitoring of environmental parameters such as humidity, temperature and rain is proposed in this paper. The proposed platform, which collects environmental data (temperature, humidity and rain) over a period of one year was tested on a real farm in Tunisia. The results show that the proposed solution can be used as a reference model to meet the requirements for large-scale agricultural farm calculation, transmission and storage. © 2020 IEEE. |
Publications
2020 |
IoT Based Low-cost Weather Station and Monitoring System for Smart Agriculture Conférence Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 9781728188157, (cited By 22). |