As the global population continues to expand, the demand for food
production is reaching unprecedented levels, while agricultural resources face
increasing constraints. Precision agriculture, empowered by cutting-edge technologies
such as Artificial Intelligence (AI), presents a promising solution to address these
challenges. This chapter explores the integration of AI techniques, including machine
learning, computer vision, and data analytics, into precision agriculture practices. It
examines how AI-driven insights enable farmers to optimize resource allocation,
enhance crop yields, minimize environmental impact, and mitigate risks associated
with climate variability. Furthermore, the chapter discusses real-world case studies and
emerging trends in AI applications for precision agriculture, highlighting their potential
to contribute significantly to achieving Sustainable Development Goal 2 - Zero
Hunger. Through a comprehensive analysis of AI-enabled precision agriculture, this
chapter aims to provide insights into the transformative role of technology in advancing
sustainable food production systems for the benefit of both present and future
generations.
Keywords: Artificial Intelligence, Computer vision, Crop yields, Climate variability, Data analytics, Environmental impact, Machine learning, Precision agriculture, Resource optimization, Sustainable development goal 2, Zero hunger.
