Summary
This review addresses a critical aspect of modern agriculture: integrating the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI) technologies to monitor and mitigate agricultural carbon emissions. We focus on the role of these advanced technologies in enhancing Climate-Smart Agriculture (CSA) and promoting sustainable farming practices. The paper provides a comprehensive review of how IoT, Big Data, and AI can be combined to monitor carbon footprints and support broader sustainability objectives in agriculture. As a key contribution, we propose a feasible, end-to-end system architecture tailored to the assessment of carbon footprint, combining IoT-enabled sensing, real-time data analytics, and predictive modeling. This study highlights the tangible benefits of these tech
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