Abstract:
Rice is the most common staple food in Sri Lanka, and rice cultivation is one of the
country’s main industries, with a significant impact focused in a few large regions. Rice
production is fraught with environmental, economic, and social issues in Sri Lanka. One
of the driving factors that directly impact rice production is temperature. Temperature
guidance was generated utilizing numerical weather prediction (NWP) data and the
R programming language using multiple linear regression as a technique to provide
temperature forecasts. Linear regression analysis, innovative trend analysis, and the
modified Mann-Kendal test were used to do trend analysis individually for the districts
of Anuradhapura, Kurunagala, and Ampara, that were having a substantial impact on
rice production.A trend analysis of average, maximum, and minimum temperature and
rice harvest over the previous 30 years has indicated some positive correlations. These
findings will be useful in future research when developing temperature guidelines for
districts that follow the above-mentioned guidance-making technique.
