Discovering the <i>Ganoderma Boninense</i> Detection Methods Using Machine Learning: A Review of Manual, Laboratory, and Remote Approaches

Ganoderma disease is a kind of infection that actuates oil palm death. Early detection the most recommended strategy for proper treatment and control plan to be taken promptly. In this paper, methods were reviewed categorized accordingly. It was found combination remote sensors machine learning techniques could identify up four severity levels, including early stage infection. also significantly reduced labor time costs compared traditional visual inspection lab-based approaches. terms learning, support vector (SVM) using idea finding hyperplane suggested as best classifier in several studies. Despite only one research done on ANN no evaluating CNN GAN detection; ANN, recognized potential enhance system.