ICAR Research Data Repository for Knowledge Management
Modelling Food Grain Production in Perspective of Climate Change
KRISHI: Publication and Data Inventory Repository
View Archive Info| Field | Value | |
| Title |
Modelling Food Grain Production in Perspective of Climate Change
Not Available |
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| Creator |
Manoj Kumar, Subrat Keshori Behera and V Bhushana Babu
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| Subject |
Climate change, Food grain production, Fertilizer, Structural time series model, Malthus model
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| Description |
Not Available
In the present paper, time series data on rainfall, fertilizer consumption and food grain production have been analyzed and studied and food grain production have been modelled using structural time series modelling. It was found that both monsoon as well as annual rainfall was not following uniform distribution. Also, a decreasing trend in fertilizer response was observed. The structural time series model was fitted and the food grain production was forecasted using the fitted model. It was forecasted that in 2016, the total food grain production will be 266.66 million tones with 95 % confidence interval (244.99-288.33). Not Available |
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| Date |
2021-07-29T17:08:45Z
2021-07-29T17:08:45Z 2017-01-01 |
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| Type |
Journal
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| Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/51188 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
Not Available
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