IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry

被引:311
|
作者
Misra, N. N. [1 ,2 ]
Dixit, Yash [3 ]
Al-Mallahi, Ahmad [4 ]
Bhullar, Manreet Singh [5 ]
Upadhyay, Rohit [6 ]
Martynenko, Alex [4 ]
机构
[1] Ingenium Naturae Private Ltd, Bharuch 392001, Gujarat, India
[2] Dalhousie Univ, Dept Engn, Truro, NS B2N 5E6, Canada
[3] AgRes Grasslands Res Ctr, Food & Biobased Prod, Palmerston North 4442, New Zealand
[4] Dalhousie Univ, Fac Agr, Dept Engn, Truro, NS B2N 5E6, Canada
[5] Kansas State Univ, Dept Hort & Nat Resources, Olathe, KS 66061 USA
[6] Nestle Res & Dev Ctr, Gurgaon 122050, India
来源
IEEE INTERNET OF THINGS JOURNAL | 2022年 / 9卷 / 09期
关键词
Artificial intelligence; Internet of Things; Big Data; Sensors; Agriculture; Social networking (online); Blockchain; digital; gene sequencing; Internet; precision agriculture (PA); robotics; sensors; social media; SOCIAL MEDIA; NIR SPECTROSCOPY; NONDESTRUCTIVE MEASUREMENT; OPEN INNOVATION; SUPPLY CHAINS; QUALITY; CHALLENGES; SAFETY; TECHNOLOGIES; TRACEABILITY;
D O I
10.1109/JIOT.2020.2998584
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of Things (IoT) results in a massive amount of streaming data, often referred to as "big data," which brings new opportunities to monitor agricultural and food processes. Besides sensors, big data from social media is also becoming important for the food industry. In this review, we present an overview of IoT, big data, and artificial intelligence (AI), and their disruptive role in shaping the future of agri-food systems. Following an introduction to the fields of IoT, big data, and AI, we discuss the role of IoT and big data analysis in agriculture (including greenhouse monitoring, intelligent farm machines, and drone-based crop imaging), supply chain modernization, social media (for open innovation and sentiment analysis) in food industry, food quality assessment (using spectral methods and sensor fusion), and finally, food safety (using gene sequencing and blockchain-based digital traceability). A special emphasis is laid on the commercial status of applications and translational research outcomes.
引用
收藏
页码:6305 / 6324
页数:20
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