What is it about?

Random Forest is one of supervised learning algorithms that can be used for prediction, classification, and mapping infected oil palm by Ganoderma boninense (basal stem rot disease) that no effective cure for this disease. Early detection and the distribution map of infected oil palm and healthy are important information for management oil palm in the field to apply the treatments for unhealthy oil palm and avoid infection to healthy oil palm.

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This page is a summary of: Random Forest classification model of basal stem rot disease caused by Ganoderma boninense in oil palm plantations, International Journal of Remote Sensing, May 2017, Taylor & Francis,
DOI: 10.1080/01431161.2017.1331474.
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