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- W4362711852 abstract "Growth prediction in Oryza Sativa L. is one of the important factors in the economy and production in India. This research work presents an Adaptive Facebook Prophet Algorithm to predict the growth in Oryza Sativa. In order to forecast the growth of rice, the proposed method implements an additive regression model with a piecewise linear or logistic pattern. The method is evaluated in Soil Nutrients Measurement value of Ph., K, NA, Temperature, Humidity, and District wise Rainfall parameters of India by adapting Kaggle Dataset which tends to predict time series of Weekly, monthly, and yearly. Based on previously observed values, time series analysis is implemented to analyze the plant growth based on parametric, series data. The results were compared with methods in the literature and the proposed method outperformed different hybrid and enhanced methods and techniques in machine learning by presenting better growth series which contributes to agriculture and fills the gap in technology and Agriculture Field." @default.
- W4362711852 created "2023-04-09" @default.
- W4362711852 creator A5017359247 @default.
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- W4362711852 date "2023-01-01" @default.
- W4362711852 modified "2023-09-27" @default.
- W4362711852 title "Growth Prediction and Analysis of Oryza Sativa Using Prophet Algorithm" @default.
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- W4362711852 doi "https://doi.org/10.1007/978-981-19-9819-5_45" @default.
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