Title: Artificial Intelligence in Agriculture: Enhancing Productivity and Sustainability
Authors: Mohammed A. Hamed, Mohammed F. El-Habibi, Raed Z. Sababa, Mones M Al-Hanjori, Basem S. Abunasser and Samy S. Abu-Naser
Volume: 8
Issue: 8
Pages: 1-5
Publication Date: 2024/08/28
Abstract:
Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements.