Forecasting models for predicting pod damage of pigeonpea in Varanasi region
Present investigation considers comparison of time series statistical models like autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) with explanatory multiple linear regression model for predicting per cent pod damage in pigeonpea by pod borer for Varanasi region o...
| 出版年: | Journal of Agrometeorology |
|---|---|
| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Association of agrometeorologists
2017-09-01
|
| 主題: | |
| オンライン･アクセス: | https://journal.agrimetassociation.org/index.php/jam/article/view/669 |
| _version_ | 1850086896622895104 |
|---|---|
| author | PRITY KUMARI G.C.MISHRA C.P. SRIVASTAVA |
| author_facet | PRITY KUMARI G.C.MISHRA C.P. SRIVASTAVA |
| author_sort | PRITY KUMARI |
| collection | DOAJ |
| container_title | Journal of Agrometeorology |
| description |
Present investigation considers comparison of time series statistical models like autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) with explanatory multiple linear regression model for predicting per cent pod damage in pigeonpea by pod borer for Varanasi region of Uttar Pradesh using 27 years of data (1985-86 to 2011-12).The evaluation of best suited model was assessed by root mean squared error (RMSE). Based on empirical studies, ANN was found to be best suited model with lowest RMSE having forecasted per cent pod damage in pigeonpea by pod borer during the year 2012-13 for Varanasi region.
|
| format | Article |
| id | doaj-art-c3ef034c628b413a8bfbdef98e9ccf59 |
| institution | Directory of Open Access Journals |
| issn | 0972-1665 2583-2980 |
| language | English |
| publishDate | 2017-09-01 |
| publisher | Association of agrometeorologists |
| record_format | Article |
| spelling | doaj-art-c3ef034c628b413a8bfbdef98e9ccf592025-08-20T00:10:31ZengAssociation of agrometeorologistsJournal of Agrometeorology0972-16652583-29802017-09-0119310.54386/jam.v19i3.669Forecasting models for predicting pod damage of pigeonpea in Varanasi regionPRITY KUMARI0G.C.MISHRA1C.P. SRIVASTAVA2Section of Agricultural Statistics, Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, IndiaSection of Agricultural Statistics, Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, IndiaDepartmentof Entomology and Agricultural Zoology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi-221005, India Present investigation considers comparison of time series statistical models like autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) with explanatory multiple linear regression model for predicting per cent pod damage in pigeonpea by pod borer for Varanasi region of Uttar Pradesh using 27 years of data (1985-86 to 2011-12).The evaluation of best suited model was assessed by root mean squared error (RMSE). Based on empirical studies, ANN was found to be best suited model with lowest RMSE having forecasted per cent pod damage in pigeonpea by pod borer during the year 2012-13 for Varanasi region. https://journal.agrimetassociation.org/index.php/jam/article/view/669ANN ARIMA modelmultiple regressionpigeonpea pod borer |
| spellingShingle | PRITY KUMARI G.C.MISHRA C.P. SRIVASTAVA Forecasting models for predicting pod damage of pigeonpea in Varanasi region ANN ARIMA model multiple regression pigeonpea pod borer |
| title | Forecasting models for predicting pod damage of pigeonpea in Varanasi region |
| title_full | Forecasting models for predicting pod damage of pigeonpea in Varanasi region |
| title_fullStr | Forecasting models for predicting pod damage of pigeonpea in Varanasi region |
| title_full_unstemmed | Forecasting models for predicting pod damage of pigeonpea in Varanasi region |
| title_short | Forecasting models for predicting pod damage of pigeonpea in Varanasi region |
| title_sort | forecasting models for predicting pod damage of pigeonpea in varanasi region |
| topic | ANN ARIMA model multiple regression pigeonpea pod borer |
| url | https://journal.agrimetassociation.org/index.php/jam/article/view/669 |
| work_keys_str_mv | AT pritykumari forecastingmodelsforpredictingpoddamageofpigeonpeainvaranasiregion AT gcmishra forecastingmodelsforpredictingpoddamageofpigeonpeainvaranasiregion AT cpsrivastava forecastingmodelsforpredictingpoddamageofpigeonpeainvaranasiregion |