变革农业:利用机器人和无人机实现可持续农业解决方案

Sushmita Das
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引用次数: 0

摘要

由于粮食需求不断增长、环境恶化和劳动力短缺,加上全球人口激增,农业部门正面临着前所未有的挑战。为了可持续地解决这些问题,利用先进机器人和无人机的 "智能农业 "概念应运而生,成为一种变革性的解决方案。本综述深入探讨了这些尖端技术对现代农业的重大影响,重点关注其应用、效益、挑战和未来前景。农业机器人技术已取得长足进步,在耕作、播种、作物保护、收割和畜牧业等任务中发挥着至关重要的作用。最新的机器人系统配备了人工智能(AI)和机器学习算法,能够高精度、高效率地执行复杂的任务。这些技术有可能提高生产率,同时通过精准农业技术最大限度地减少对环境的影响。同样,无人机在监测、喷洒、绘图和监视方面的应用也为精准农业带来了革命性的变化。最新型的无人机配备了多光谱传感器、全球定位系统技术和人工智能驱动的分析技术,为农民提供实时数据和可操作的见解。这有助于优化资源利用、改善作物健康和提高产量,同时减少对环境的影响。尽管取得了这些进步,但一些挑战阻碍了其广泛应用。高昂的初始成本、技术学习曲线、监管障碍和数据安全问题仍然是重大障碍。此外,这些技术的集成需要大量的基础设施和培训,这对小规模农户来说可能是一项艰巨的任务。本文强调,需要战略投资和支持性政策来克服这些挑战。技术开发人员、农业专家和政策制定者之间的合作对于推动创新和促进智能农业实践的采用至关重要。 机器人和无人机在彻底改变传统耕作方式方面潜力巨大。通过利用这些技术,农业产业可以实现可持续的解决方案,提高生产力,确保未来的粮食安全。本综述全面分析了智能农业的现状和未来发展方向,强调了机器人和无人机在农业变革中的关键作用。
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Transforming Agriculture: Harnessing Robotics and Drones for Sustainable Farming Solution
The agricultural sector is facing unprecedented challenges due to increasing food demand, environmental degradation, and labour shortages, exacerbated by a burgeoning global population. To address these issues sustainably, the concept of "smart farming" utilizing advanced robotics and drones has emerged as a transformative solution. This review paper delves into the significant impact of these cutting-edge technologies on modern agriculture, focusing on their applications, benefits, challenges, and future prospects. Robotics in agriculture have advanced considerably, playing crucial roles in tasks such as tillage, seeding, crop protection, harvesting, and animal husbandry. The latest robotic systems are equipped with artificial intelligence (AI) and machine learning algorithms, enabling them to perform complex tasks with high precision and efficiency. These technologies have the potential to enhance productivity while minimizing environmental impacts through precision farming techniques. Drones, similarly, have revolutionized precision agriculture with their applications in monitoring, spraying, mapping, and surveillance. The latest drone models are equipped with multispectral sensors, GPS technology, and AI-driven analytics, providing farmers with real-time data and actionable insights. This helps in optimizing resource use, improving crop health, and increasing yield while reducing environmental footprints. Despite these advancements, several challenges impede widespread adoption. High initial costs, technological learning curves, regulatory hurdles, and data security concerns remain significant barriers. Additionally, the integration of these technologies requires substantial infrastructure and training, which can be daunting for small-scale farmers. The paper emphasizes the need for strategic investments and supportive policies to overcome these challenges. Collaborations between technology developers, agricultural experts, and policymakers are crucial to drive innovation and facilitate the adoption of smart farming practices.  Robotics and drones hold immense potential to revolutionize traditional farming practices. By harnessing these technologies, the agriculture industry can achieve sustainable solutions, enhancing productivity and ensuring food security for the future. This review provides a comprehensive analysis of the current state and future directions of smart farming, underscoring the pivotal role of robotics and drones in transforming agriculture.
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