Smart Agriculture Cloud Using AI Based Techniques
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- Sergej Svorobej & Patricia Takako Endo & Malika Bendechache & Christos Filelis-Papadopoulos & Konstantinos M. Giannoutakis & George A. Gravvanis & Dimitrios Tzovaras & James Byrne & Theo Lynn, 2019. "Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges," Future Internet, MDPI, vol. 11(3), pages 1-15, February.
- Anthony King, 2017. "Technology: The Future of Agriculture," Nature, Nature, vol. 544(7651), pages 21-23, April.
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- Hu, Yang & House, Lisa A. & Gao, Zhifeng, 2022. "How do consumers respond to labels for crispr (gene-editing)?," Food Policy, Elsevier, vol. 112(C).
- Junchi Zhou & Wenwu Hu & Airu Zou & Shike Zhai & Tianyu Liu & Wenhan Yang & Ping Jiang, 2022. "Lightweight Detection Algorithm of Kiwifruit Based on Improved YOLOX-S," Agriculture, MDPI, vol. 12(7), pages 1-14, July.
- Wiranarongkorn, K. & Im-orb, K. & Patcharavorachot, Y. & Maréchal, F. & Arpornwichanop, A., 2023. "Comparative techno-economic and energy analyses of integrated biorefinery processes of furfural and 5-hydroxymethylfurfural from biomass residue," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
- Liu, Suxia & Deichmann, Majken & Moro, Mariú A. & Andersen, Lars S. & Li, Fulin & Dalgaard, Tommy & McKnight, Ursula S., 2022. "Targeting sustainable greenhouse agriculture policies in China and Denmark: A comparative study," Land Use Policy, Elsevier, vol. 119(C).
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Keywords
smart farming; AI-based agri-food; energy efficiency; digital transformation; environment; cloud based IoTs;All these keywords.
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