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Emerging Trends in Nanotechnology, Autonomous Farms, and Collaborative Agri-Industry Marketing: The Future of AI in Food Production
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Author(s): Kundan Kumar (Assam University, Silchar, India), Azmirul Hoque (Assam University, Silchar, India), Mrutyunjay Padhiary (Assam University, Silchar, India)and Pranjal Saikia (Assam University, Silchar, India)
Copyright: 2026
Pages: 40
Source title:
AI Innovations for Transforming Food Production
Source Author(s)/Editor(s): Pawan Whig (Vivekanada Institute of Professional Studies, India)and Ahmed Elngar (Beni-Suef University, Egypt)
DOI: 10.4018/979-8-3373-0842-5.ch010
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Abstract
New approaches to agricultural production are needed in light of the growing demand for food production brought on by population growth, resource scarcity, and climate change. The solutions to these problems have been developed by combining AI, nanotechnology, and autonomous systems. Applications of AI support precision farming, yield prediction, crop monitoring, and improved food safety. Nanotechnology enhances food quality, microbial detection, and shelf-life prediction, mostly through AI-powered nano-sensors and smart packaging. Autonomous systems reduce labor dependency by enabling automated seeding, watering, and harvesting. Agricultural markets are more efficient because of AI-driven supply chain optimization, market data analysis, and traceability. However, problems like scalability, operational expenses, and data quality still exist in spite of these advancements. This chapter emphasizes the value of corporate partnerships, targeted research, and policy interventions in advancing market-based innovations, sustainable farming methods, and food safety.
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