2023
DOI: 10.9734/ijecc/2023/v13i92258
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Development of Rice Yield Forecasting Model Using Linear Regression for Imphal West District, Manipur, India

Neha Wangkheimayum,
H. B. Paliwal

Abstract: Rice is a staple food crop and India’s principal food grain. It is generally grown under completely flooded conditions and any changes in weather parameters might affect the rice productivity thereby impacting the food security of the ever-increasing population Prevailing weather conditions during the crop growth period determine the yield of Rice. Hence, the crop yield forecasting models based on weather parameters will be an appropriate option for policymakers and researchers to develop sustainable cropping … Show more

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“…SPSS provides a range of tools and techniques for data analysis, making it a valuable tool for conducting agricultural research (Tega and Bojago 2023). By employing SPSS, researchers can explore the relationship between weather variables and crop productivity, enabling policymakers and farmers to make informed decisions regarding agricultural practices, resource allocation, and risk management (Wangkheimayum and Paliwal, 2023). SPSS enables diverse statistical analyses: correlation, regression, and time series (Das and Kumar, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…SPSS provides a range of tools and techniques for data analysis, making it a valuable tool for conducting agricultural research (Tega and Bojago 2023). By employing SPSS, researchers can explore the relationship between weather variables and crop productivity, enabling policymakers and farmers to make informed decisions regarding agricultural practices, resource allocation, and risk management (Wangkheimayum and Paliwal, 2023). SPSS enables diverse statistical analyses: correlation, regression, and time series (Das and Kumar, 2019).…”
Section: Introductionmentioning
confidence: 99%