IoT, Big Data and Artificial Intelligence in Agriculture and Food Industry
A special issue of AgriEngineering (ISSN 2624-7402).
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 1912
Special Issue Editor
Interests: machine learning; sensors for food; data analysis; imaging; spectroscopy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The main topics of the Issue will be regarding the use of Internet of Things (IoT), big data, and Artificial Intelligence (AI) in the agriculture and food industry. IoT results in a massive amount of streaming data, often referred to as “big data”, which creates new opportunities to monitor agricultural and food processes. Besides sensors, big data from social media is also becoming important for the agri-food industry. IoT, big data, and AI are envisaged to transform the future of agri-food systems. Multinational corporations are increasingly investing in the areas of IoT-driven agri-food sector. Recent advancements in computing power have given an opportunity to realize complex AI techniques for the monitoring and automation of agricultural and food processes. The pace of innovations in the field of IoT, big data, and AI are astounding, and tasks that seemed impossible a few years ago have now been implemented with great success. Embracing such technological innovations and putting them to work is important for the success of the modern agriculture and food industry. From this perspective, the Special Issue wants to contribute to the field, presenting the most relevant advances in this research area.
The following are some of the topics proposed for this Special Issue:
- Big data implementation in agri-food industry;
- IoT devices for digital agriculture and food industry;
- Miniature spectrometers as IoT sensors for agri-food industry;
- Web and social media analysis for agri-food systems;
- Machine Learning (ML) and deep learning algorithms for agri-food systems;
- Blockchain technology for the agri-food supply chain.
Dr. Yash Dixit
Guest Editor
Manuscript Submission Information
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Keywords
- Big data
- Internet of Things (IoT)
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep learning
- Agriculture
- Food
- Web scraping
- Sentiment analysis.
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