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Harnessing Artificial Intelligence for Sustainable Food Production
Abstract
Artificial Intelligence (AI) is transforming sustainable agriculture by improving efficiency, productivity, and environmental stewardship. This chapter explores AI's role in addressing challenges like resource inefficiencies, environmental degradation, and labor shortages. AI-driven systems optimize resource management, such as precision irrigation and targeted pesticide use, reducing water and chemical waste while enhancing crop health. Robotics and automation, including self-driving tractors and AI-powered robots, streamline planting, harvesting, and weeding, boosting efficiency. Real-world case studies highlight AI's impact on yields and productivity. Challenges include data quality, infrastructure gaps, ethical concerns, and socio-economic impacts like job displacement. Emerging trends such as climate-adaptive farming, AI-driven soil management, and blockchain integration promise further advancements. Collaboration among stakeholders is essential to achieve an efficient, equitable, and sustainable agricultural future.
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