The east coast of India, especially the coastal region of Odisha, is highly threatened by
tropical cyclones. This study develops a detailed risk map for tropical cyclones in the coastal …

In order to help farmers and crop managers better understand the elements influencing crop
status and growth, hyperspectral and multispectral data processing methods have shown to …

The acquisition of vegetation coverage information is crucial for crop field management, and
utilizing visible light spectrum vegetation indices to extract vegetation coverage information …

The objective of this research was to assess the feasibility of remote sensing (RS)
technology, specifically an unmanned aerial system (UAS), to estimate Bambara groundnut …

The paper proposes a Long Short-Term Memory (LSTM) model to forecast variations in land
use and land cover (LULC) using ESA Sentinel-2 imagery. Accurate LULC change …

In the field of crop image detection, traditional detection methods for the growth period of
related crops rely heavily on humans, resulting in relatively low accuracy. At present, the …

Severe cyclones and storm surges are a frequent phenomenon in Bangladesh, a
consequence of its unique geographic location, distinctive natural environment, and tropical …

Bangladesh is one of the most agriculturally highly based disaster-prone, overpopulated
countries worldwide. This country is vulnerable to risks from tropical cyclones causing …

In Bangladesh delta's coastal regions, tropical cyclones cause harm to rice crops growing on
agricultural lands almost every year. Therefore, utilizing remote sensing (RS) and machine …

Rice is a staple crop in Bangladesh, heavily dependent on stable weather and climate.
Coastal regions are particularly vulnerable to cyclones, which can devastate crop …