Open Access
Issue
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
Article Number 01030
Number of page(s) 8
Section Agriculture, Animal Sciences, Agroforestry, and Agromaritime Innovation
DOI https://doi.org/10.1051/bioconf/202412301030
Published online 30 August 2024
  • A.L.R. Westerling, Increasing western US forest wildfire activity: Sensitivity to changes in the timing of spring, Philosophical Transactions of the Royal Society B: Biological Sciences. 371, 1696 (2016) [Google Scholar]
  • The Ministry of Environment and Forestry of the Republic of Indonesia. [internet] https://ppid.menlhk.go.id/berita/siaran-pers/7579/kinerja-pengendalian-kebakaranhutan-dan-lahan-tahun-2023. [27 Februari 2024] (2023) [Google Scholar]
  • A.R. Kusuma AR, F.M. Shodiq, M.F. Hazim, D.P. Laksono, Hasil Studi Pola Kebakaran Lahan Gambut melalui Citra Satelit Sentinel-2 dengan Pengimplementasian Machine Learning Metode Random Forest: Kajian Literatur. JGISE. 4, 2 (2021) [Google Scholar]
  • L. Syaufina, Metode Penilaian Areal Pasca Kebakaran Hutan. IPB Press: Bogor, Indonesia (2017) [Google Scholar]
  • L. Syaufina, A.A. Hamzah, Changes of tree species diversity in peatland impacted by moderate fire severity at Teluk Meranti, Pelalawan, Riau Province, Indonesia. Biodiversitas. 22, 5 (2021) [Google Scholar]
  • M. Arrafi, L. Somantri, R. Ridwana, Pemetaan Tingkat Keparahan Kebakaran Hutan dan Lahan Menggunakan Algoritma Normalized Burn Ratio (NBR) Pada Citra Landsat 8 di Kabupaten Muaro Jambi. Jurnal Geosains dan Remote Sensing. 3, 1 (2022) [Google Scholar]
  • Y.Q. Guo, G. Chen, Y.N. Wang, X.M. Zha, Z.D. Xu, Wildfire Identification Based on an Improved Two-Channel Convolutional Neural Network. Forests. 13, 1302 (2022) [CrossRef] [Google Scholar]
  • X. Zheng, F. Chen, L. Lou, P. Cheng, Y. Huang, Real-Time Detection of Full-Scale Forest Fire Smoke Based on Deep Convolution Neural Network. Remote Sens. 14, 536 (2022) [CrossRef] [Google Scholar]
  • S. Khan, A. Khan, Firenet: Deep learning based forest fire classification and detection in smart cities. Symmetry. 14, 10 (2022) [Google Scholar]
  • M.I. Gürsoy, O. Orhan, S. Tekin, Creation of wildfire susceptibility maps in the Mediterranean Region (Turkey) using convolutional neural networks and multilayer perceptron techniques. Forest Ecology and Management. 538, 121006 (2023) [CrossRef] [Google Scholar]
  • B.H. Saharjo, L. Syaufina, A.D Nurhayati, E.I. Putra, R.D. Waldi, Wardana, Pengendalian Kebakaran Hutan Dan Lahan Di Wilayah Komunitas Terdampak Asap (IPB Press: Bogor, Indonesia, 2018) [Google Scholar]
  • R.P. Sadewa, B. Irawan, C. Setianingsih, Fire Detection Using Image Processing Techniques with Convolutional Neural Networks. ISRITI (2019) [Google Scholar]
  • S. Hijazi, R. Kumar, C. Rowen, Using Convolutional Neural Networks for Image Recognition. IP Group. Cadence (2015) [Google Scholar]
  • J. Ker, L. Wang, J. Rao, T. Lim, Deep Learning Applications in Medical Image Analysis, IEEE Access. 6 (2018) [Google Scholar]
  • K. O'Shea, R. Nash, An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458 (2015) [Google Scholar]
  • A. Santoso, G. Ariyanto, Implementasi Deep Learning Berbasis Keras Untuk Pengenalan Wajah. Emit. J. Tek. Elektro. 18, 01 (2018) [Google Scholar]
  • K. Dong, Zhou, C. Zhou, Y. Ruan, Y. Li, MobileNetV2 Model for Image Classification. ITCA (2020) [Google Scholar]
  • J.H. Roh, S.H Min, M.S. Kong, Analysis of Fire Prediction Performance of Image Classification Models based on Convolutional Neural Network. Fire Science and Engineering. 36, 6 (2022) [Google Scholar]

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