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Forecasting Sugarcane Yield of Tamilnadu Using ARIMA Models
3 references·5 citing·21 second hop
Forecasting Sugarcane Yield of Tamilnadu Using ARIMA Models (2011)Forecasting Sugarcane Yield of Tamilnadu …Economic and Political Weekly (2017)Economic and Political WeeklyTime Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models (1999)Time Series Prediction With G…Indian Journal of Fisheries (1954)Indian Journal of FisheriesModeling and Forecasting of Sugarcane Production in India (2021)Modeling and Forecasting of S…Neural Networks for Predicting Prices of Sugarcane Derivatives (2018)Neural Networks for Predictin…Modeling and forecasting of oilseed production of India through artificial intelligence techniques (2018)Modeling and forecasting of o…Growth, instability and forecast of marine products export from India (2016)Growth, instability and forec…Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models (2014)Forecasting Rice Productivity…Forecasting Spring Wheat Yield Using Time Series Analysis (2000)Export Instability and Economic Development. (1968)The Consumer Price Index as a Measure of Inflation (1993)Modelling and forecasting monthly fisheries catches: comparison of regression, univariate and multivariate time series methods (1997)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)A Novel Hybrid Deep Learning Model for Sugar Price Forecasting Based on Time Series Decomposition (2021)Forecasting Scrap Steel Prices via Machine Learning for the Central Chinese Market (2025)Scrap steel price predictions for southwest China via machine learning (2025)Forecasting with artificial neural networks: (1998)Time series analysis forecasting and control (2009)Modeling and forecasting of milk production in the SAARC countries and China (2021)Adaptive neural network model for time-series forecasting (2010)Performance analysis of Indian stock market index using neural network time series model (2013)A new model selection strategy in time series forecasting with artificial neural networks: IHTS (2015)Decentralization of Governance and Development (2002)Urban Informality: Toward an Epistemology of Planning (2005)Why India Cannot Plan Its Cities: Informality, Insurgence and the Idiom of Urbanization (2009)Reviewing capital cost estimations in aquaculture (2017)Terrestrial cultural landscapes changed inshore marine ecosystems: Eight centuries of shellfish harvesting from the Kawela Mound site, Hawaiian Islands (2024)
this work references cited by second hop

References

  • 2017Economic and Political Weekly8,972 cited
  • 1954Indian Journal of Fisheries605 cited
  • 1999Time Series Prediction With Genetic‐Algorithm Designed Neural Networks: An Empirical Comparison With Modern Statistical Models136 cited

Cited by

  • 2021Modeling and Forecasting of Sugarcane Production in India47 cited
  • 2018Neural Networks for Predicting Prices of Sugarcane Derivatives37 cited
  • 2014Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models33 cited
  • 2018Modeling and forecasting of oilseed production of India through artificial intelligence techniques30 cited
  • 2016Growth, instability and forecast of marine products export from India10 cited

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