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Advancements in Smart Modular Farming Systems for Sustainable Agriculture

  • Mohammed A. I. Matar,
  • Marwan Radi,
  • Said A. Alzebda

摘要

This paper examines the transformative field of smart modular farming systems, a convergence of cutting-edge technologies with traditional agriculture. By integrating sensors, data analytics, automation, and artificial intelligence (AI), these systems revolutionize crop management, resource optimization, and sustainability. Sensor technology enables real-time data acquisition for precise decision-making, while the Internet of Things (IoT) interconnects devices, creating a dynamic environment for efficient operations. Automation and robotics streamline labor-intensive tasks, boosting productivity and minimizing resource us- age. Data analytics and AI-driven insights empower farmers with in- formed strategies for effective crop health management. Exploring the components of smart modular farms, we delve into crop monitoring, water management, nutrient precision, pest control, and energy efficiency. Real-world case studies showcase tangible successes, including heightened yields and reduced environmental impact. While challenges like initial investments and data security exist, ongoing advancements in sensor technology, AI algorithms, and automation are poised to address these concerns.