Block Chain-Enabled Traceable Agriculture with AI Synergy

Resumo

Agriculture faces significant challenges, including inefficiencies in supply chain transparency, food safety, and sustainability. Traditional methods often lack real-time data tracking, leading to increased waste and reduced consumer trust. This study implements a blockchain-enabled traceability system combined with Artificial Intelligence (AI) to enhance agricultural practices. We deployed IoT sensors to collect data on soil conditions, crop health, and environmental factors, which were recorded on a blockchain for immutable record-keeping. AI algorithms analyzed this data to optimize resource allocation and predict yield outcomes. The integration of blockchain and AI resulted in a 30% reduction in resource usage (water and fertilizers) and a 25% increase in crop yields over a six-month period. Additionally, consumer trust improved, with a 40% increase in product traceability ratings based on surveys conducted with over 1,000 participants. The findings underscore the potential of blockchain and AI synergy in revolutionizing agricultural practices, providing a sustainable model that enhances efficiency, transparency, and consumer confidence. By adopting this integrated approach, the agricultural sector can significantly mitigate its environmental impact while ensuring food security.