Advancing Agriculture Through AI: Current Trends and Innovations
Keywords:
Artificial Intelligence (AI), Transformative, productivity, efficiency, sustainabilityAbstract
Artificial Intelligence (AI) offers groundbreaking solutions to address long-standing challenges in agriculture. This review provides a comprehensive overview of AI applications in the sector, emphasizing its role in predicting and monitoring crop growth and yield, analyzing climate change and weather patterns, managing pests and diseases, controlling weeds, enhancing animal production, optimizing agricultural machinery, improving crop irrigation, and advancing soil and fertilization management.
Key AI technologies, including machine learning, computer vision, and precision agriculture, are explored for their transformative potential. The study underscores AI's capacity to enhance agricultural productivity, efficiency, and sustainability. Additionally, it examines the challenges and limitations of AI adoption, such as data quality and availability, infrastructure demands, and ethical considerations.
Ultimately, this review highlights the transformative impact of AI on agriculture, emphasizing the urgent need for continued research and investment to foster resilient and sustainable agricultural systems.
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