Assessing the impact of seasonal rainfall patterns on Indian rice production using association rule mining
Document Type
Conference Proceeding
Publication Title
10th Proceedings of World Congress on Computers in Agriculture, 10th Asian Federation for Information Technology in Agriculture (AFITA) 2017
Publisher
World Congress on Computers in Agriculture (WCCA) / Asia Federation for Information Technology in Agriculture (AFITA)
Place of Publication
Suncheon, Korea
School
School of Science
RAS ID
23373
Abstract
Rice crop production plays a vital role in food security of India, contributing more than 40% to overall crop production. Various climatic factors such as rainfall and temperature influence crop yield. While overall seasonal rainfall is one factor which determines yield, the distribution of rainfall through the growing season can also affect the final crop yield. Understanding the role that growing seasonal patterns play in final crop yield can assist farmer and decision makers to make important decision about the crop agronomy and crop choice. This paper assesses the impact of seasonal rainfall patterns on rice crop yield of Maharashtra state, India using association rule mining. For the present study 27 districts of Maharashtra state were selected on the basis of data availability. The rainfall data of Kharif season (June – November) for five years from 1998 to 2002 were considered for the present study. Three divisions were made of the season namely, beginning of the season (June, July), middle of the season (August, September) and end of the season (October, November). The summation of monthly mean rainfall was considered for each division of the season. The rainfall was categorized as extremely poor (0 to 100 mm), very poor (101 to 200 mm), poor (201 to 350 mm), average (351 to 600 mm), good (601 to 850 mm), very good (851 to 1100 mm) and extremely good (1101 to 1400 mm). Depending on the category of rainfall for each division of the season, the classes of rice crop yield were studied which are defined as low (0.15 to 0.60 tonnes/hectare), moderate (0.61 to 1.10 tonnes/hectare) and high (1.11 to 3.16 tonnes/hectare). The study revealed some interesting conclusions concerning the impact of seasonal rainfall patterns on rice crop yield of Maharashtra state, India which are presented in this paper.
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Comments
Gandhi, N., & Armstrong, L. (2016). Assessing the impact of seasonal rainfall patterns on Indian rice production using association rule mining. Paper presented at the 10th Proceedings of World Congress on Computers in Agriculture, 10th Asian Federation for Information Technology in Agriculture (AFITA) 2017, Sunchon National University, Suncheon, Korea.