Automating Mushroom Culture Classification: A Machine Learning Approach

• Main Authors: Hamimah, Ujir, Irwandi Hipni, Mohamad Hipiny, Mohamad Hasnul, Bolhassan, Ku Nurul Fazira, Ku Azir, Syed Asif, Ali
• Format: Article
• Language: English
• Published: The Science and Information Organization (SAI) 2024
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/44674/3/Automating%20Mushroom%20Culture%20-%20Copy.pdf; http://ir.unimas.my/id/eprint/44674/; https://thesai.org/Publications/ViewPaper?Volume=15&Issue=4&Code=IJACSA&SerialNo=54

Traditionally, the classification of mushroom cultures has conventionally relied on manual inspection by human experts. However, this methodology is susceptible to human bias and errors, primarily due to its dependency on individual judgments. To overcome these limitations, we introduce an innovativ...