Agriculture automation is a primary issue and a rapidly developing field for the nation. The
global population is growing swiftly, so there is a severe need to fulfill food demand …

Agriculture must overcome escalating problems in order to feed a growing population while
preserving the environment and natural resources. Recently, it has become clear that …

Deep learning has played a crucial role in the field of smart agriculture and been widely
used in various applications. However, the deep learning models are constrained by data …

The generation of food production that meets the rising demand for food and ecosystem
security is a big challenge. With the development of Artificial Intelligence (AI) models, there …

The purpose of this study is to introduce a method to fill the gap in urban freight volume
prediction in the Internet of Things by utilising deep learning for meeting smart logistics …

The confined spaces of extrawide immersed tunnels presents a significant challenge to the
effective implementation of firefighting strategies in the event of a fire. In such an event, it is …

One of the major responsibilities for forest police is forest fire prevention and forecasting;
therefore, accurate and timely fire detection is of great importance and significance. We …

In recent years, the internet of things (IoT) based sensors are deployed on the farmland to
monitor the crops and soil suitability. The early prediction of drought plays an important part …

Artificial intelligence applications in fire safety of agricultural structures have practical
economic and technological benefits on commercial agriculture. The FAO estimates that …

In recent years, the frequent occurrence of forest fires has caused serious impact on the
environment and economy. Fire detection has become a hot research direction. Despite the …