Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …

Land Cover and Land Use classification is a problem in remote sensing imagery data. The
volume of remote sensing data in the earth observation, which need analysis and …

Coastal mangrove forests provide important ecosystem goods and services, including
carbon sequestration, biodiversity conservation, and hazard mitigation. However, they are …

Background: The problems to leaf in plants are very severe and they usually shorten the
lifespan of plants. Leaf diseases are mainly caused due to three types of attacks including …

This research paper proposes a methodology for classifying aerial photographs and lands
using deep learning with transfer learning. The study utilizes the Aerial Image Dataset (AID) …

This research presents an innovative machine learning approach for classifying land use
types using building-level electricity consumption data. The main objective of the study is to …

Population growth and increased migration from rural to urban areas have led to
widespread climate change that has significantly impacted land use. Urban sprawl is a …