Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

In dry regions, gardens and trees within the urban space are of considerable significance.
These gardens are facing harsh weather conditions and environmental stresses; on the …

Ground control point (GCP) is an important calibration factor when correcting position
information during unmanned aerial vehicle (UAV) remote sensing. Studies of the optimal …

Background Nitrogen (N), phosphorus (P), and potassium (K) are essential elements that
are highly deficient during plant growth. Existing diagnostic methods are not suitable for …

Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

Forest fires have become a major concern in the northern parts of Morocco, particularly in
the Tangier-Tetouan-Al Hoceima (TTA) region, causing significant damage to the …

Introduction Land use classification plays a critical role in analyzing land use/cover change
(LUCC). Remote sensing land use classification based on machine learning algorithm is …

Almond cultivation is of great socio-economic importance worldwide. With the demand for
almonds steadily increasing due to their nutritional value and versatility, optimizing the …

Uneven-aged mixed forests have been recognized as important contributors to biodiversity
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …