KLASIFIKASI POHON KELAPA SAWIT MENGGUNAKAN CITRA LIDAR DENGAN CONVOLUTIONAL NEURAL NETWORK
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D. Sandya Prasvita et al., “KLASIFIKASI POHON KELAPA SAWIT PADA DATA FUSI CITRA LIDAR DAN FOTO UDARA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK,” 2021.
S. Bayu S, M. Eng. S. Dr. Ir. Daniel, and STP. M. Dr. Suhardi, “Studi Kondisi Tanaman Kakao Di Kabupaten Mamuju Berdasarkan Sifat Spektral Menggunakan Citra Landsat 8 TM,” 2014.
A. Nauthika, A. Suprayogi, and B. Sudarsono, “IDENTIFIKASI DAN ESTIMASI TINGKAT PRODUKTIVITAS KELAPA SAWIT MENGGUNAKAN TEKNOLOGI LiDAR (Studi Kasus : Air Upas, Kabupaten Ketapang),” 2017.
W. Li, H. Fu, and L. Yu, “Deep convolutional neural network based large-scale oil palm tree detection for high-resolution remote sensing images,” 2017.
W. Li, R. Dong, H. Fu, and L. Yu, “Large-scale oil palm tree detection from high-resolution satellite images using two-stage convolutional neural networks,” Remote Sensing, vol. 11, no. 1, Jan. 2019, doi: 10.3390/rs11010011.
I. Sunarko, Budi Daya Tanaman Kelapa Sawit. AgroMedia, 2014.
Ibnu Choldun R.Muh., Santoso Judhi, and Kridanto Surendro, Determining the Neural Network Topology: A Review. 2019.
I. Susetyo and Setiono, “APLIKASI PENGINDERAAN JAUH UNTUK MENDUKUNG SISTEM MANAJEMEN LAHAN PERKEBUNAN YANG BERKELANJUTAN DI PERKEBUNAN KARET ,” E-journal Pulitkaret, vol. 32, no. Nomor 2, 2013.
K. Schmid et al., “Lidar 101: An Introduction to Lidar Technology, Data, and Applications,” 2012. [Online]. Available: www.csc.noaa.gov
K. O’Shea and R. Nash, “An Introduction to Convolutional Neural Networks,” Nov. 2015, [Online]. Available: http://arxiv.org/abs/1511.08458
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