利用关联规则挖掘评估季节性降雨对印度拉贾斯坦邦水稻作物产量的影响

N. Gandhi, L. Armstrong
{"title":"利用关联规则挖掘评估季节性降雨对印度拉贾斯坦邦水稻作物产量的影响","authors":"N. Gandhi, L. Armstrong","doi":"10.1109/ICACCI.2016.7732178","DOIUrl":null,"url":null,"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.","PeriodicalId":371328,"journal":{"name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining\",\"authors\":\"N. Gandhi, L. Armstrong\",\"doi\":\"10.1109/ICACCI.2016.7732178\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":371328,\"journal\":{\"name\":\"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCI.2016.7732178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCI.2016.7732178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

高度依赖农业的发展中国家越来越担心气候变化将进一步影响粮食安全。重要的是要更深入地了解这种气候变化对作物生产和粮食安全的影响。本文通过数据可视化和关联规则挖掘技术的应用,评估了分布季节性降雨对印度拉贾斯坦邦水稻作物产量的影响。本研究考虑的数据集是拉贾斯坦邦29个地区从1960年到2002年的43年,取决于数据的可用性。从6月到11月的哈里夫季节的降雨量分为三个部分。季节的开始被认为是六月和七月,季节的中期被认为是八月和九月,季节的结束被认为是十月和十一月。研究了季初、季中、季末降水变化对水稻产量的影响,并报道了一些有趣的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信