The population explosion of the 21st century has adversely affected the natural resources with restricted availability of cultivable land, increased average temperatures due to global warming, and carbon footprint resulting in a drastic increase in floods as well as droughts thus making food security significant anxiety for most countries. The traditional methods were no longer sufficient which paved the way for technological ascents such as a substantial rise in Artificial Intelligence (AI), Internet of Things (IoT), as well as Robotics that provides high productivity, functional efficiency, flexibility, cost-effectiveness in the domain of agriculture. AI, IoT, and Robotics-based devices and methods have produced new paradigms and opportunities in agriculture. AI's existing approaches are soil management, crop diseases identification, weed identification, and management in collaboration with IoT devices. IoT has utilized automatic agricultural operations and real-time monitoring with few personnel employed in real-time. The major existing applications of agricultural robotics are for the function of soil preparation, planting, monitoring, harvesting, and storage. In this paper, researchers have explored a comprehensive overview of recent implementation, scopes, opportunities, challenges, limitations, and future research instructions of AI, IoT, and Robotics based methodology in the agriculture sector.
翻译:21世纪的人口爆炸对自然资源产生了不利影响,因为耕地供应有限,全球升温导致平均气温上升,以及碳足迹导致洪水和干旱急剧增加,使大多数国家的粮食安全成为重大焦虑;传统方法已经不足以为技术增殖铺平道路,例如人工智能(AI)、物联网(IoT)以及提供农业领域高生产力、功能效率、灵活性、成本效益的机器人的大幅提高;AI、IoT和机器人用装置和方法产生了新的农业范式和机会;AI的现有方法包括土壤管理、作物疾病识别、杂草识别和与IoT装置合作管理。 IoT利用自动农业作业和实时监测,而实时雇用的人员很少。农业机器人的主要现有应用是土壤准备、种植、监测、收获和储存功能。在这份文件中,研究人员探讨了对最近执行、范围、机会、挑战、限制和未来农业研究指示的全面概述。AI、IOT、AI、IT、AI、ITO、AI、ITO、AI、AI、ITO、AI、AI、ITO、IAT系统、以及未来研究方法。