Open Access
| Issue |
BIO Web Conf.
Volume 80, 2023
4th International Conference on Smart and Innovative Agriculture (ICoSIA 2023)
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 7 | |
| Section | Smart and Precision Farming | |
| DOI | https://doi.org/10.1051/bioconf/20238006001 | |
| Published online | 14 December 2023 | |
- Rastegari, H., Nadi, F., Lam, S. S., Ikhwanuddin, M., Kasan, N. A., Rahmat, R. F., & Mahari, W. A. W., Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends, Smart Agricultural Technology, 4(December 2022), 100187 (2023). [CrossRef] [Google Scholar]
- Rochyani, N., Analysis of Water Environment Characteristics and Pools for Supporting Fish Cultivation, Jurnal Ilmu-Ilmu Perikanan Dan Budidaya Perairan, 13, 51–56 (2018). [CrossRef] [Google Scholar]
- Henriksson, P. J. G., Tran, N., Mohan, C. V., Chan, C. Y., Rodriguez, U.P., Suri, S., Phillips, M. J., Indonesian Aquaculture Futures – Evaluating Environmental and Socioeconomic Potentials and Limitations, Journal of Cleaner Production, 162, 1482–1490 (2017). [CrossRef] [Google Scholar]
- Statistik KKP: Jumlah Pembudidaya Ikan, https://statistik.kkp.go.id, (Accessed on June 19, 2022). [Google Scholar]
- Karim, S., Hussain, I., Hussain, A., Hassan, K., & Iqbal, S. IoT Based Smart Fish Farming Aquaculture Monitoring System, International Journal on Emerging Technologies, 12(2): 45-53 (2021). [Google Scholar]
- Ramadhan, M. H., Dewantoro, G., & Setiaji, F. D., Rancang Bangun Sistem Pakar Pemantau Kualitas Air Berbasis IoT Menggunakan Fuzzy Classifier, Jurnal Teknik Elektro, 12(2), 47–56 (2020). [CrossRef] [Google Scholar]
- Sukrismon, Y., Hidayatullah, N., Mufti, N., Handayani, A. N., & Horng, G. J., Smart Fish Pond for Economic Growing in Catfish Farming, ICCS, (ICOMITEE), 1, 49–53 (2019). [Google Scholar]
- Chiesa, G., Di Vita, D., Ghadirzadeh, A., Muñoz Herrera, A. H., & Leon Rodriguez, J. C, A fuzzylogic IoT lighting and shading control system for smart buildings. Automation in Construction, 120(August), (2020). [Google Scholar]
- Varshney, A., & Goyal, V., Re-evaluation on fuzzy logic controlled system by optimizing the membership functions, Materials Today: Proceedings, (2023). [Google Scholar]
- Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. Fuzzy Logic based Smart Irrigation System using Internet of Things. Journal of Cleaner Production, 252, (2020). [Google Scholar]
- Bórquez-Lopez, R. A., Casillas-Hernandez, R., Lopez-Elias, J. A., Barraza-Guardado, R. H., & Martinez-Cordova, L. R. Improving feeding strategies for shrimp farming using fuzzy logic, based on water quality parameters. Aquacultural Engineering, 81 (August), 38–45, (2018). [CrossRef] [Google Scholar]
- Ramos, J., Lino, P. G., Caetano, M., Pereira, F., Gaspar, M., & dos Santos, M. N. Perceived impact of offshore aquaculture area on small-scale fisheries: A fuzzy logic model approach. Fisheries Research, 170, 217–227, (2015). [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.