CONVOLUTIONAL SVM NETWORKS FOR DETECTION OF GANODERMA BONINENSE AT EARLY STAGE IN OIL PALM USING UAV AND MULTISPECTRAL PLEIADES IMAGES

5 citations as recorded by crossref.

1. Ganoderma disease detection in oil palm plantations using C and L band SAR backscatter time series D. Samitha Daranagama & W. Takeuchi https://doi.org/10.1088/1755-1315/1412/1/012003
2. A review update on Ganoderma species: etiology and management approaches P. Thakur et al. https://doi.org/10.1007/s10482-025-02193-7
3. An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management S. Karunarathna et al. https://doi.org/10.3390/jof10060414
4. Smartphone application for detecting and visualizing basal stem rot disease stages in oil palm D. Daranagama & W. Takeuchi https://doi.org/10.3389/frsen.2025.1553844
5. Spectral detection of basal stem rot in oil palm plantations using UAV hyperspectral imagery, deep learning segmentation, and machine learning classification: a case study at the sembawa plantation R. Nagara et al. https://doi.org/10.3389/frsen.2026.1788857