Abstract
Big data surrounds us. Every minute, our smartphone collects huge amount of data from geolocations to next clickable item on the e-commerce site. Data has become one of the most important commodities for the individuals and companies. Nevertheless, this data revolution has not touched every economic sector, especially rural economies; e.g., small farmers have largely passed over the data revolution, in the developing countries due to infrastructure and constrained compute environments. Not only this is a huge missed opportunity for the big data companies, but it is one of the significant obstacles in the path toward sustainable food and a huge inhibitor closing economic disparities. The purpose of the paper is to develop a framework to deploy artificial intelligence models in constrained compute environments that enable remote rural areas and small farmers to join the data revolution and start contribution to the digital economy and empower the world through the data to create a sustainable food for our collective future. In a nutshell, close the digital gap by crossing the AI chasm to democratize AI for poor and helpless farmers and help ourselves by creating sustainable food future.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
How to Sustainably Feed 10 Billion People by 2050, in 21 Charts. https://www.wri.org/blog/2018/12/how-sustainably-feed-10-billion-people-2050-21-charts.
- 2.
Creating a sustainable food future, https://wrr-food.wri.org/.
- 3.
Course 2 Increase Food Production without Expanding Agricultural Land-https://wrr-food.wri.org/course/increase-food-production-without-expanding-agricultural-land-synthesis.
- 4.
Data at the Edge https://www.seagate.com/enterprise-storage/what-is-it-4-0/.
- 5.
- 6.
Trade-off Models https://www.ifm.eng.cam.ac.uk/research/dstools/trade-off-models/.
References
Chui, C., Manyika, J., Miremadi, M., Henke, N., Chung, R., Nel, P., Malhotra, S.: Notes from the AI frontier: applications and value of deep learning (2018). https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning
Amaral, L.: The data revolution hasn’t yet hit agriculture. (05 March, 2019). https://www.wri.org/blog/2019/03/data-revolution-hasnt-yet-hit-agriculture
Searchinger, T., Waite, R., Hanson, C., Ranganathan, J.: In: Creating A Sustainable Food Future. (2018). https://wrr-food.wri.org/
Lowder, S.K., Skoet, J., Raney, T.: The number, size, and distribution of farms, smallholder farms, and family farms worldwide. pp. 16–29. (Nov 2016). https://www.sciencedirect.com/science/article/pii/S0305750X15002703
Manyika, J., Bughin, J.: The promise and challenge of the age of artificial intelligence. (Oct, 2018). https://www.mckinsey.com/featured-insights/artificial-intelligence/the-promise-and-challenge-of-the-age-of-artificial-intelligence
Van Ranst, W.: Real world applications of artificial intelligence on constrained hardware. Web (2019)
Coldewey, D.: Overclocked smartwatch sensor uses vibrations to sense gestures, objects and locations. (21 November, 2016). https://techcrunch.com/2016/11/21/overclocked-smartwatch-sensor-uses-vibrations-to-sense-gestures-objects-and-locations/
Perrin, A.: Digital gap between rural and nonrural America persists. (May 2019). https://www.pewresearch.org/fact-tank/2019/05/31/digital-gap-between-rural-and-nonrural-america-persists/
Thomas, R., McSharry, P.: In: Big Data Revolution: What Farmers, Doctors And Insurance Agents Teach Us About Discovering Big Data Patterns, 1st edn, Wiley. (2 March 2015). ISBN-10: 9781118943717
Rao, D.R.: Small farmers make big contributions: dairy production in India. (7 February 2017). https://ucanr.edu/blogs/blogcore/postdetail.cfm?postnum=23184
Prahalad, C.K., Hart, S.L.: Strategies for the bottom of the pyramid: creating sustainable development (1999).http://pdf.wri.org/2001summit_hartarticle.pdf
Watson, R.T.: In: Industrial Agriculture and Small-scale Farming. (2009). https://www.globalagriculture.org/report-topics/industrial-agriculture-and-small-scale-farming.html
Schumacher, E.F.: In: Small is Beautiful: Economics as if People Mattered Paperback. Perenial Library/Harper and Row, (August 1975). ISBN-10: 9780060803520
Morris, J., Trifiro, M., Smith, J.:In: State of the Edge. https://www.seagate.com/www-content/enterprise-storage/it-4-0/images/Data-At-The-Edge-UP1.pdf. Accessed (25 December 2019)
Lui, K., Karmiol, J.: AI infrastructure reference architecture-IBM systems. (June 2018). https://www.ibm.com/downloads/cas/W1JQBNJV. Accessed (25 December 2019)
Bormann, C., Ersue, M., Keranen, A.: Terminology for constrained-node networks. (May 2014). https://tools.ietf.org/html/rfc7228
Ilapakurti, A., Vuppalapati, J.S., Kedari, S., Kedari, S., Chauhan, C., Vuppalapati, C.: iDispenser—big data enabled intelligent dispenser. In: 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService) (2017)
Han, J., Kamber, M., Pei, J.: Data mining: concepts and techniques. 3 edn, Morgan Kaufmann, (6 July 2011)
Rajaraman, A., Ullman, J.D.: Mining of massive datasets. Cambridge University Press (30 December 2011)
Acknowledgements
We are very thankful to the management of Hanumayamma Innovations and Technologies Inc., for providing sensor and sensor data to publish as part of the paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Vuppalapati, C., Ilapakurti, A., Kedari, S., Vuppalapati, R., Vuppalapati, J., Kedari, S. (2021). Crossing the Artificial Intelligence (AI) Chasm, Albeit Using Constrained IoT Edges and Tiny ML, for Creating a Sustainable Food Future. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Fifth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1184. Springer, Singapore. https://doi.org/10.1007/978-981-15-5859-7_54
Download citation
DOI: https://doi.org/10.1007/978-981-15-5859-7_54
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5858-0
Online ISBN: 978-981-15-5859-7
eBook Packages: EngineeringEngineering (R0)