 Oil palm trees are important economic crops in Malaysia and other tropical areas. The number of oil palm trees in a plantation area is important information for predicting the yield of palm oil. In this paper, we propose a deep learning-based framework for oil palm tree detection and counting using high-resolution remote-sensing images for Malaysia. This article was authored by Wei Jieli, Halhuan Fu, Liu, and others.