Optimising Transportation Systems for Sustainable Agricultural Supply Chains: Integration of Smart Logistics and Precision Farming Techniques

Integrating smart logistics and precision farming techniques transforms agricultural supply chains, addressing critical socio-environmental challenges such as resource overuse and inefficiencies. This paper explores how applying technologies like the Internet of Things (IoT), Big Data analytics, and Artificial Intelligence (AI) can enhance agricultural operations by optimising transportation, storage, and distribution processes. Smart logistics improve supply chain efficiency, reduce waste, and minimise carbon emissions, while precision farming focuses on data-driven decision-making to optimise input usage and enhance crop productivity. Case studies from Finland, Slovakia, and the Czech Republic demonstrate the potential of these integrated systems to deliver substantial economic, environmental, and operational benefits. However, the implementation of such technologies faces significant challenges, including high initial costs, data protection issues, and insufficient infrastructure. The paper concludes by highlighting the need for coordinated policy frameworks and continuous innovation to ensure the scalability and success of these technologies in diverse agricultural contexts.