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Papers related to:  Agriculture

Satellite Image Analytics, Land Change and Food Security

Chakraborty, S., Jabbar, Z., Subramanian, L., and Nyarko, Y., (2016). Satellite Image Analytics, Land Change and Food Security. ACM SIGKDD Workshop on Data Science for Food, Energy and Water (DSFEW), Co-located with KDD 2016, San Francisco, USA.

In this paper, we present the design of a satellite image analytics engine that we use to perform a detailed analysis of changes in agricultural land patterns over a 13-year time period (2000-2012) in West Bengal, India, traditionally considered one of the most fertile areas in the world.

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GreenApps: A Platform for Cellular Edge Applications

Ahmad, T., Reed-Sanchez, E., Zarinni, F., Afutu, A., Adjaho, K., Nyarko, Y., & Subramanian, L. (2018, June). GreenApps: A Platform For Cellular Edge Applications. In Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, (p. 45). ACM.

This paper presents the design, implementation and deployment of GreenApps, a ground-up platform that enables off-grid, near off-line and highly available cellular applications in rural contexts. The GreenApps platform has been deployed in two rural regions in Kumawu, Ghana and Pearl Lagoon, Nicaragua and supports different community-centric applications.

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Computing the Rate of Disappearance of Cropland Using Satellite Images

Chakraborty, S., Dalton, S., Nyarko, Y., and Subramanian, L., (2012). Computing the Rate of Disappearance of Cropland Using Satellite Images. In Proceedings of the 3rd International Conference on Computational Sustainability, Denmark.

Apart from human-led development, changing climate is also leading towards a change in the land pattern. In both scenarios, a solution to the problem can be a monitoring tool, which can identify the change in land pattern over the years. In this paper, we present a tool that can monitor this change through satellite images.

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