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Artificial Intelligence Applications in Agricultural Sustainability: Enhancing Efficiency and Resilience
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Author(s): Imed Othmeni (National Institute of Applied Sciences and Technology, Tunisia), Rim Ben Abdallah (National Institute of Applied Sciences and Technology, Tunisia), Hiba Ben Aribi (National Institute of Applied Sciences and Technology, Tunisia), Eya Ben Amara (National Institute of Applied Sciences and Technology, Tunisia)and Sami Fattouch (National Institute of Applied Sciences and Technology, Tunisia)
Copyright: 2023
Pages: 23
Source title:
Convergence of Cloud Computing, AI, and Agricultural Science
Source Author(s)/Editor(s): Avinash Kumar Sharma (ABES Institute of Technology, India), Nitin Chanderwal (University of Cincinnati, USA)and Rijwan Khan (Galgotias University, India)
DOI: 10.4018/979-8-3693-0200-2.ch010
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Abstract
Agriculture plays a crucial role in addressing global challenges such as food security, resource scarcity, and climate change. As the world population continues to grow, the need for sustainable and efficient farming practices becomes paramount. This chapter aims to explore the applications of artificial intelligence (AI) in agricultural sustainability, focusing on how AI technologies can enhance efficiency and resilience in agricultural practices. The chapter provides an overview of the potential benefits and challenges of integrating AI into agriculture, highlighting specific use cases, and discussing the implications for sustainable farming systems. It also examines the role of AI in addressing key sustainability issues including resource management, yield optimization, pest control, and adaptation to environmental conditions. By examining current trends and advancements in AI for agriculture, this chapter contributes to a comprehensive understanding of how AI can revolutionize farming practices and promote sustainable agricultural systems.
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