Crop yield loss caused by phytopathogens has a massive impact on global economy. For
over a century, agrochemicals have been used for plant disease management; however, the …

Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging
technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing …

The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

The aim of this study is to improve ride comfort among tractor drivers by utilizing Internet of
Things (IoT) technology and Machine Learning (ML) techniques to analyze and predict …

Ensuring the reliability of data obtained from Wireless Sensor Networks (WSNs) deployed in
farmland to monitor soil parameters is crucial for optimizing smart irrigation. These …

Malicious nodes launching selective forwarding attacks jeopardize network reliability in
event-driven wireless sensor networks. Swift detection and exclusion of these nodes are …

With the rapid growth in the world population, developing agricultural technologies has been
an urgent need. Sensor networks have been widely used to monitor and manage …

A robust and high-precision localization algorithm is crucial for the valid running of wireless
sensor networks. However, the conventional localization algorithms hardly overcome the …

Big data and data scientific applications in the modern agriculture are rapidly evolving as the
data technology advances and more computational power becomes available. The adoption …

Abstract Sensor Nodes (SNs) in Wireless sensor networks (WSNs) continuously monitor the
environment and accumulate data. But due to the limited memory and processing …