Trends and Growth of Productivity of Agricultural Sector using Statistics Through Machine Learning in Assam
Year: 2024
Type: article
Abstract: The study of trend and growth of agricultural sector by applying statistical techniques through machine learning analysis has become a powerful tool in in the long run. period, In this study Trend Analysis have been done using fitting of curves of the types, Exponential, Modified Exponential, Gompertz and Power Curves by taking secondary data for a period of 1993to 2023. The data have been collected from the official records of Directorate of Economics and Statistics Assam. Trend analysis have been done using Mann-Kendall test and Sen’s slope estimator. From the growth models modified exponential is adjudged by higher ????2 and lowest MSE and lowest AIC with significant t values.
Author: Smrita Borthakur
Institution: Central University of Haryana
Language: English
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4404423005