The integration of artificial intelligence (AI) and the Internet of Things (IoT) in agriculture has
significantly transformed rural farming. However, the adoption of these technologies has …

Wireless sensor networks and Internet of Things devices are revolutionizing the smart
agriculture industry by increasing production, sustainability, and profitability as connectivity …

In the evolution from Agriculture 2.0 to Agriculture 5.0, the agricultural sector has witnessed
transformative changes. Agriculture 5.0 represents a revolutionary phase, integrating …

The primary aim of this study was to explore cybersecurity threats in agriculture 4.0 and 5.0,
as well as possible mitigation strategies. A secondary method was employed involving …

Agricultural participants are apprehensive as the farming landscape transforms with the
Internet of Things technology. Farming involves significant risk, and the addition of …

Precision livestock farming (PLF) is increasingly being suggested as a promising tool for
contributing to the sustainable transition of livestock farming as a market system innovation …

Federated learning (FL), with the aim of training machine learning models using data and
computational resources on edge devices without sharing raw local data, is essential for …

Precision agriculture (PA) has been defined as a “management strategy that gathers,
processes and analyzes temporal, spatial and individual data and combines it with other …

An insider threat is a malicious action launched by authorized personnel inside the
organization. Since insider actions may only leave a small digital footprint in the system, it is …

Smart farming practices offer decision-making support as farmers navigate economic, social,
and environmental challenges. However, smart farming adoption remains low in many …