Farming in the digital sky: cloud-based approaches for sustainable agriculture

Abstract

In recent years, the agricultural sector has witnessed a significant transformation propelled by advancements in cloud-based technologies. This paper explores the intersection of agriculture and cloud computing, elucidating how cloud-based approaches are revolutionizing farming practices to foster sustainability. By leveraging the scalability, accessibility, and analytical capabilities of cloud platforms, farmers can optimize resource management, improve crop yields, and mitigate environmental impact. This paper examines key applications of cloud-based solutions in agriculture, ranging from precision farming and data analytics to supply chain management and decision support systems. Furthermore, it discusses the potential challenges and opportunities associated with the adoption of cloud technology in farming, emphasizing the imperative of integrating sustainable practices into digital agricultural frameworks. Through case studies and real-world examples, this paper underscores the transformative potential of farming in the digital sky, paving the way for a more resilient and sustainable agricultural future. By harnessing the power of cloud computing, machine learning, and image processing technologies, these systems have the potential to revolutionize crop management practices, reduce crop losses, and enhance food security on a global scale. Cloud-based plant leaf disease identification systems represent a promising approach to precision agriculture, offering farmers and agricultural stakeholders a scalable, efficient, and costeffective solution for early disease detection and management. Through a comprehensive examination of cloud-based applications in agriculture, including precision farming, data analytics, supply chain management, and decision support systems, this paper highlights the multifaceted benefits and challenges associated with the adoption of cloud technology in farming.