Automatic Weather Stations (AWS) are extensively used for gathering meteorological and
climatic data. The World Meteorological Organization (WMO) provides publications with …

Weather forecasting is the practice of predicting the state of the atmosphere for a given
location based on different weather parameters. Weather forecasts are made by gathering …

Machine learning has traditionally been solely performed on servers and high-performance
machines. However, advances in chip technology have given us miniature libraries that fit in …

The rampant adoption of digital technologies made momentous changes in all economic
sectors. The agriculture sector cannot abstain from the digital revolution. Agriculture and …

Agricultural practices need to be transformed in order to overcome future food scarcity due to
overpopulation across the globe. By employing emerging, disruptive technologies like IoT in …

The plethora of sensors deployed in Internet of Things (IoT) environments generate
unprecedented volumes of data, thereby creating a data deluge. Data collected from these …

The scientific field of urban climatology has long investigated the two-way interactions
between cities and their overlying atmosphere through in-situ observations and climate …

Mobile edge computing is an emerging concept, introduced to bring the cloud services and
resources to the user proximity and exploring them at the edge of the network. This helps to …

Purpose The purpose of this paper aims to reduce the manpower, electricity, and water
consumption for irrigation. Design/methodology/approach The IoT-based smart irrigation …

With the rapid accumulation of processed data in the modeling of a problem, it is necessary
to apply the parallelization of the computational process, in order to be able to make …