Basal Stem Rot (BSR) detection using iextural inalysis of Unmanned Aerial Vehicle (UAV) image

• Main Authors: Bejo, Siti Khairunniza, Jaleni, M., Husin, M. E., Khosrokhani, Maryam, Muharam, Farrah Melissa, Abu Seman, Idris, Anuar, Mohamad Izzuddin
• Format: Article
• Language: English; English
• Published: Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia 2018
• Online Access: http://psasir.upm.edu.my/id/eprint/53274/1/Methods%20of%20reducing%20the%20fate%20and%20transport%20of%20nutrients%20from%20agricultural%20fields.pdf; http://psasir.upm.edu.my/id/eprint/53274/7/Basal%20Stem%20Rot%20%28BSR%29%20detection%20using%20iextural%20inalysis%20of%20Unmanned%20Aerial%20Vehicle%20%28UAV%29%20image.pdf; http://psasir.upm.edu.my/id/eprint/53274/; http://eproceedings.chemistry.utm.my/index.php/FYP/index
• Institution: Universiti Putra Malaysia

Basal Stem Rot (BSR) disease is one of the most destructive diseases affecting oil palm plantation in Malaysia. The first critical step for a successful control of BSR is its detection and diagnosis. This study presents a new approach of high spatial resolution aerial Red, Green, Blue (RGB) image fo...