Deployment of Industry 4.0 into the Agricultural Food Industry: A Focus on Facet, Insight, Knowledge, and Resilience (FIKR) Personality Traits and AI-Powered Inventory Management

Abstract

Integrating Artificial Intelligence (AI) in precision agriculture within the framework of Industry 4.0 (I4) is revolutionizing crop disease management and inventory management, offering innovative solutions that enhance both agricultural productivity and environmental sustainability. Combined with I4 technologies, AI-powered systems can predict, detect, and manage crop diseases accurately, reducing reliance on chemical pesticides and improving overall farm efficiency. AI algorithms identify disease patterns and suggest optimal intervention strategies by analyzing real-time data from drones, sensors, and satellite imagery. This approach minimizes crop loss, maximizes yield, and aligns with sustainable farming practices by reducing the environmental footprint. However, the success of these technologies is influenced by the personality traits of farmers. Traits such as openness to innovation, conscientiousness, and analytical thinking are crucial for the effective adoption and utilization of AI-driven solutions. Conscientious farmers follow precise instructions and maintain equipment, while those open to new experiences are more likely to experiment with innovative technologies. Analytical thinkers excel in interpreting complex data, and making informed decisions that improve crop health and yield. The research underscores the need for fostering these traits among farmers to maximize the benefits of AI technologies. Additionally, the study highlights the importance of interdisciplinary collaboration in developing and implementing AI-driven solutions that address both agricultural productivity and environmental sustainability. By integrating technological advancements with human factors, AI has the potential to transform crop disease management, contributing to a more sustainable and resilient agricultural system. The findings call for continued research, policy support, and a holistic approach to fully realize the benefits of AI in agriculture.