Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...

The widespread and growing use of flying unmanned aerial vehicles (UAVs) is attributed to their high spatial mobility, autonomous control, and lower cost compared to usual manned flying vehicles.

⚠️ Some aerodynamic and inertial values are estimated or assumed based on academic literature, public data, or similar vehicles. Lateral-directional derivatives for 6DOF simulation are particularly ...

Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...

Abstract: LiteNet-CNN is a novel convolutional neural network architecture specifically designed for resource-constrained environments such as mobile devices and retail settings. The paper highlights ...