Open Access
Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
---|---|---|
Article Number | 04007 | |
Number of page(s) | 13 | |
Section | Engineering for Environment Development Applications | |
DOI | https://doi.org/10.1051/e3sconf/202449104007 | |
Published online | 21 February 2024 |
- Ataei Kachouei, M., Kaushik, A., & Ali, M. A. (2023). Internet of Things‐Enabled Food and Plant Sensors to Empower Sustainability. Advanced Intelligent Systems, 2300321. [Google Scholar]
- Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Enhancing smart farming through the applications of Agriculture 4.0 technologies. International Journal of Intelligent Networks, 3, 150-164. [CrossRef] [Google Scholar]
- Qazi, S., Khawaja, B. A., & Farooq, Q. U. (2022). IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends. IEEE Access, 10, 21219-21235. [CrossRef] [Google Scholar]
- Wijaya, A., & Sinaga, H. (2019). Empowering traditional farmers in escalating farming towards industry 4.0-ready. International Journal of Innovation, Creativity and Change, 6(6), 244-255. [Google Scholar]
- K. S. Patle, R. Saini, A. Kumar, S. G. Surya, V. S. Palaparthy, K. N. Salama, IEEE Sens. J. 2021, 21, 19481. [CrossRef] [Google Scholar]
- Fang, Y., & Ramasamy, R. P. (2015). Current and prospective methods for plant disease detection. Biosensors, 5(3), 537-561. [CrossRef] [PubMed] [Google Scholar]
- Neethirajan, S., Ragavan, V., Weng, X., & Chand, R. (2018). Biosensors for sustainable food engineering: challenges and perspectives. Biosensors, 8(1), 23. [CrossRef] [PubMed] [Google Scholar]
- Khan, S., & Hussain, M. M. (2019, April). IoT enabled plant sensing systems for small and large scale automated horticultural monitoring. In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) (pp. 303-308). IEEE. [Google Scholar]
- Madaswamy, M. (2020). Digitalization of Agriculture in India: Application of IoT; Robotics and Informatics to Establish Farm Extension 4.0. Journal of Informatics and Innovative Technologies, 4(2), 23-32. [Google Scholar]
- Mancini, A., Frontoni, E., & Zingaretti, P. (2019, June). Satellite and uav data for precision agriculture applications. In 2019 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 491-497). IEEE. [Google Scholar]
- Cotter, M., & Asch, F. (2020). Smallholder targeted Agriculture 4.0 in temperature limited cropping systems. Journal of Agronomy and Crop Science, 206(4), 421-422. [CrossRef] [Google Scholar]
- P. Velusamy, S. Rajendran, R. K. Mahendran, S. Naseer, M. Shafiq and J.-G. Choi, “Unmanned aerial vehicles (UAV) in precision agriculture: Applications and challenges”, Energies, vol. 15, no. 1, pp. 217, Dec. 2021. [CrossRef] [Google Scholar]
- Velusamy, P., Rajendran, S., Mahendran, R. K., Naseer, S., Shafiq, M., & Choi, J. G. (2021). Unmanned Aerial Vehicles (UAV) in precision agriculture: Applications and challenges. Energies, 15(1), 217. [CrossRef] [Google Scholar]
- A. Matese, P. Toscano, S. Di Gennaro, L. Genesio, F. Vaccari, J. Primicerio, et al., “Intercomparison of UAV aircraft and satellite remote sensing platforms for precision viticulture”, Remote Sens., vol. 7, no. 3, pp. 2971-2990, Mar. 2015. [CrossRef] [Google Scholar]
- P. P. Ray, “Internet of Things for smart agriculture: Technologies practices and future direction”, J. Ambient Intell. Smart Environ., vol. 9, no. 4, pp. 395-420, Jun. 2017. [CrossRef] [Google Scholar]
- S. Kontogiannis, G. Kokkonis, S. Ellinidou and S. Valsamidis, “Proposed fuzzy-NN algorithm with LoRa communication protocol for clustered irrigation systems”, Future Internet, vol. 9, no. 4, pp. 78, Nov. 2017. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.