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Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture最新文献

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Farming Automation 农业自动化
Kavita Srivastava
Farming automation requires a whole lot of new skills and use of technology for achieving a substantial increase in the crop yield. Smart farming enables the use of technology in tracking, monitoring, and analyzing various farming operations. Internet of things (IoT) platform is formed with sensors and actuators, cameras and drones, telecommunication technologies, edge devices, cloud servers, and specialized hardware and software. This chapter will discuss the available hardware and software technology elements that can be used in farm automation. The chapter is comprised of four sections. The first section provides an overview of precision agriculture and smart farming. The second section provides the literature review of existing research. The third section describes IoT techniques, sensors, and cloud and edge computing solutions for the implementation of smart farming. The fourth section provides a few case studies of the application of IoT in smart farming. Specifically, the chapter will describe the IoT platform solution for complete farm automation.
农业自动化需要大量的新技能和技术的使用来实现作物产量的大幅增加。智能农业可以使用技术来跟踪、监控和分析各种农业操作。物联网(IoT)平台由传感器和执行器、摄像头和无人机、电信技术、边缘设备、云服务器以及专用硬件和软件组成。本章将讨论可用的硬件和软件技术要素,可用于农场自动化。本章由四个部分组成。第一部分概述了精准农业和智能农业。第二部分对现有研究进行文献综述。第三部分介绍了实现智能农业的物联网技术、传感器以及云和边缘计算解决方案。第四部分提供了一些物联网在智慧农业中的应用案例研究。具体来说,本章将描述用于完全农场自动化的物联网平台解决方案。
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引用次数: 0
Digitization in Agriculture 农业数字化
Shiv Kumari, Yaman Parasher, Sidharth Mehra, Prabhjot Singh
The chapter starts with a focus on the current scenario of the digitalization in agriculture space. It pinpoints the reason behind the need and explains the emergence of new Agtech-based startups that work on new innovative digital technologies. The chapter also tries to discuss the post-COVID implications along with the merits of digitalization in the agricultural domain. Apart from this, it also discusses different aspects of the digitalization on the agriculture space in general that includes the concept of telematics, precision farming, blockchain, artificial intelligence, etc. At last, some of the main challenges like the issue of connectivity, interoperability, portability, and need of public and private sector cooperation were discussed.
本章首先重点介绍了农业空间数字化的现状。它指出了这种需求背后的原因,并解释了致力于创新数字技术的新型农业科技创业公司的出现。本章还试图讨论后covid的影响以及数字化在农业领域的优点。除此之外,它还讨论了农业领域数字化的不同方面,包括远程信息处理、精准农业、区块链、人工智能等概念。最后,讨论了一些主要挑战,如连通性、互操作性、可移植性问题以及公共和私营部门合作的需求。
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引用次数: 0
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Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
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