Object detection is essential to the interpretation of optical remote sensing images and can
serve as a foundation for research into additional visual tasks that utilize remote sensing …

Attention mechanism, one of the most extensively utilized components in computer vision,
can assist neural networks in emphasizing significant elements and suppressing irrelevant …

Abstract The Red Palm Weevil (RPW), also known as the palm weevil, is considered among
the world's most damaging insect pests of palms. Current detection techniques include the …

The mapping of forest pests and diseases using remote sensing presents a critical
challenge in forest management and conservation. Forestry professionals have shown …

Pine wilt disease (PWD) is one of the most concerning diseases in forestry and poses a
considerable threat to forests. Since the deep learning approach can interpret the raw …

In recent years, the automatic analysis of natural environment images acquired with
unmanned aerial vehicles (UAV) has rapidly gained popularity. UAVs are specially …

Identifying forest types is crucial in satellite remote sensing monitoring. Research focusing
on the identification of forest tree species using high-resolution remote sensing images is on …

Precise identification of tree trunks contributes to the understanding of urban green
dynamics. Previous attempts to develop tree trunk detection methods have faced limitations …

Objective of this study is to develop a novel, effective, and robust Sliding Mode Control
(SMC) method for quadcopters (also called quadrotors) based on Adaptive Neuro-Fuzzy …

Timely and efficient mapping of date palm plantations through unmanned aerial vehicle
(UAV) remote sensing is critical for continuous observation, health and risk evaluation, pest …