The Role of Artificial Intelligence in Addressing Future Challenges in Food Production and Sustainability
محورهای موضوعی : Journal of Plant ecophysiology
Mohamad Raza Bahramjerdi
1
,
Gholam Abbas Mohammadi
2
1 - Department of Agronomy, Jiroft Branch ,Islamic Azad University, Jiroft, Iran
2 - Department of Plant Breeding, Jiroft Branch ,Islamic Azad University, Jiroft, Iran
کلید واژه: Artificial Intelligence , Climate Resilience, Precision Agriculture, Resource Management,
چکیده مقاله :
Objective: This collection of articles examines the role of artificial intelligence (AI) in transforming the farming and agricultural industries in response to global challenges such as rapid population growth, diminishing farmland, and climate change.
Methods: The articles synthesize current research and case studies that illustrate the implementation of AI technologies in agricultural practices. They analyze how AI can enhance productivity, operational efficiency, and sustainability in agriculture, while addressing the evolving demands of the market and environmental conditions.
Results: The findings indicate that AI has significant potential to revolutionize agricultural production systems by improving output, increasing operational efficiency, and fostering resilience against climate variability. The integration of AI technologies can lead to more sustainable agricultural practices that meet the needs of a growing global population projected to exceed nine billion by 2050.
Conclusions: This body of work contributes to the existing literature by highlighting the transformative effects of AI in agriculture, emphasizing its necessity for future food security, and providing insights into the challenges and opportunities that lie ahead in the agricultural sector.
Objective: This collection of articles examines the role of artificial intelligence (AI) in transforming the farming and agricultural industries in response to global challenges such as rapid population growth, diminishing farmland, and climate change.
Methods: The articles synthesize current research and case studies that illustrate the implementation of AI technologies in agricultural practices. They analyze how AI can enhance productivity, operational efficiency, and sustainability in agriculture, while addressing the evolving demands of the market and environmental conditions.
Results: The findings indicate that AI has significant potential to revolutionize agricultural production systems by improving output, increasing operational efficiency, and fostering resilience against climate variability. The integration of AI technologies can lead to more sustainable agricultural practices that meet the needs of a growing global population projected to exceed nine billion by 2050.
Conclusions: This body of work contributes to the existing literature by highlighting the transformative effects of AI in agriculture, emphasizing its necessity for future food security, and providing insights into the challenges and opportunities that lie ahead in the agricultural sector.
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