Agarwood oil quality identification using artificial neural network modelling for five grades

• Main Authors: Siti Mariatul Hazwa, Mohd Huzir, Saiful Nizam, Tajuddin, Zakiah, Mohd Yusoff, Nurlaila F., Ismail, Abd Almisreb, Ali Abd, Mohd Nasir, Taib
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2024
• Subjects: HD Industries. Land use. Labor; Q Science (General); T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/40959/1/Agarwood%20oil%20quality%20identification%20using%20artificial%20neural%20network.pdf; http://umpir.ump.edu.my/id/eprint/40959/; https://doi.org/10.11591/ijece.v14i2.pp2254-2261; https://doi.org/10.11591/ijece.v14i2.pp2254-2261

Agarwood (Aquilaria Malaccensis) oil stands out as one of the most valuable and highly sought-after oils with a hefty price tag due to its widespread use of fragrances, incense, perfumes, ceremonial practices, medicinal applications and as a symbol of luxury. However, nowadays the conventional metho...