Surface water is heavily exposed to contamination as this is the ubiquitous source for most
of the water needs. This situation is exaggerated by the excessive population, heavy …

Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …

Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

Every aspect of the 21st century has undergone a revolution because of the Internet of
Things (IoT) and smart computing technologies. These technologies are applied in many …

An accurate amount of fertilizer according to the real-time context is the basis of precision
agriculture in terms of sustainability and profitability. Many fertilizers recommendation …

Plant diseases pose a major threat to agricultural production and the food supply chain, as
they expose plants to potentially disruptive pathogens that can affect the lives of those who …

Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

Modelling plays an important role in identifying and solving problems that arise in a number
of scientific issues including agriculture. Research in the natural environment is often costly …

Unmanned aerial vehicles (UAVs) are increasingly being integrated into the domain of
precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are …

This review article explores the integration of artificial intelligence (AI) in industry 4.0 and its
transformative impact on the manufacturing sector. The core principles of industry 4.0 …