Smart Agriculture Meets Healthcare: Exploring AI-Driven Solutions for Plant Pathogen Detection and Livestock Wellness Monitoring

Abstract

The convergence of smart agriculture and healthcare represents a novel frontier in leveraging Artificial Intelligence (AI) for addressing challenges in plant pathogen detection and livestock wellness monitoring. This paper investigates the potential of AI-driven solutions, integrating advanced sensing technologies with data analytics, to enhance agricultural productivity and animal health. Specifically, we explore the application of AI algorithms in analyzing multispectral imagery for early detection of plant diseases and in processing physiological data for real-time monitoring of livestock well-being. By synergizing the expertise from both domains, this interdisciplinary approach offers innovative strategies for precision agriculture and personalized animal care. We discuss recent advancements, challenges, and future prospects of this emerging field, emphasizing its role in promoting sustainable agriculture and improving animal welfare.