Title

Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining

Document Type

Conference Proceeding

Publisher

IEEE

School

School of Science

RAS ID

21383

Comments

Originally published as: Gandhi, N., & Armstrong, L. J. (2016, September). Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining. In Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on (pp. 1021-1024). IEEE. Original available here

Abstract

Developing countries which are highly dependent on agriculture have shown growing concern that climate variability will further impact on food security. It is important to have a deeper understanding of the impact of this climate change on crop production and food security. This paper assesses the impact of distributed seasonal rainfall on rice crop yield of Rajasthan state, India through data visualisation and application of association rule mining techniques. The dataset considered for the present study was of twenty nine districts of Rajasthan state for forty three years from 1960 to 2002 depending on the data availability. Three divisions were made for the rainfall in Kharif season from June to November. Beginning of the season was considered as June and July, Middle of the season as August and September and End of the season as October and November. The effect of variation in the rainfall at the beginning, middle and end of season on the rice crop yield was investigated and some interesting results are reported.

DOI

10.1109/ICACCI.2016.7732178

Access Rights

Not open access

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