The significance of user participation in sustaining drinking water quality and assessing
other factors, such as cleanliness, sanitary conditions, preservation, and waste treatment, is …

A severe and pervasive environmental problem that affects the entire planet is Air Pollution
(AP). Numerous researchers have focused on these issues while keeping human health in …

The importance of predicting and forecasting the Air Quality Index (AQI) using machine
learning approaches is growing due to the negative health impacts of air pollution. This …

Extensive and exhaustive water utilization for agriculture, industries and ground water
consumption for domestic purposes has heavily deterioted the water bodies. Cloud and …

Recently, the combination of Deep Learning (DL) methods within the Internet of Things
(IoTs) has developed in the agricultural field, especially in the domain of pest management …

A variety of business firms are moving towards the cloud after realizing the benefits and
success of using cloud technology. With multiple cloud service providers having different …

UAVs provide unprecedented data collection and consumption prospects, but integrating
this data might be challenging. The data can be collected in any format, including pictures …

Machine learning applications' revolutionization of data processing and decision-making
techniques has several implications for the global economy. Due to the increased need for …