Computer Vision and Machine Learning based approaches for Food Security: A Review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11036-2.pdf
Reference75 articles.
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3. UN Food and Agriculture Organization. (2012). The State of Food Insecurity in the World 2001. Rome
4. Tyagi AC (2016) Towards a second green revolution. Irrigation and Drainage 65(4):388–389
5. Gebbers R, Adamchuk VI (2010) Precision agriculture and food security. Science 327(5967):828–831
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