This paper would provide a comprehensive review of the synergistic integration of
measurement science and artificial intelligence (AI) in the realm of smart agriculture. As …

The agriculture sector is one of the largest consumers of fresh water. Different types of
irrigation systems are available, including center pivot, drip and sprinkler systems, and linear …

The paper highlights the application of smart farming in the agricultural sector, leveraging
the capabilities of machine learning (ML) and the Internet of Things (IoT). The paper …

Crop production is perhaps one of the most challenging activities that one may undertake in
today's world. Among the disadvantages of traditional farming methods main are the …

The new coronavirus SARS-CoV-2, which triggered the COVID-19 pandemic, has had an
unparalleled effect on economies, cultures, and world health. In response to the critical need …

Despite popular belief, agricultural research today is more based on hard evidence; exact;
precise, and rigorous than ever before. Almost every industry has been disrupted by the …

Health safety is always one of the key concerns for human lives. During this current
pandemic, people have become more aware of this fact and have started following different …

This study investigates the viability of using Machine Learning (ML) to improve valve
management and water delivery, focusing on soil hydration in the root zones. The System …

IoT network traffic classification is an approach used to analyze IoT network traffic, revealing
various network activities. The network traffic analysis process involves several steps: data …

The IOT network traffic classification is a scheme for analysing traffic in Internet of Things.
This scheme is executed for classifying diverse activities in network. The traffic is classified …