Optimizing Human-Computer Interaction for Sustainable Organic Food Production Through Advanced Detection and Algorithmic Strategies

Abstract

The integration of advanced Human-Computer Interaction (HCI) techniques in organic food production has the potential to significantly enhance both efficiency and sustainability. This paper explores a novel approach that combines HCI-driven object detection technologies with optimization algorithms to improve the identification and management of pests and diseases in organic farming. By leveraging HCI principles, the proposed system facilitates intuitive and effective interaction between farmers and technology, ensuring timely interventions and optimized decision-making processes. The study demonstrates how this synergy between HCI and agricultural practices can lead to improved crop yields, better quality, and a reduced environmental footprint.