ICAR Research Data Repository for Knowledge Management
An indirect method for forecasting the annual food production of India
DRS at CSIR-National Institute of Oceanography
View Archive Info| Field | Value | |
| Title |
An indirect method for forecasting the annual food production of India
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| Creator |
Gopinathan, C.K.
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| Description |
The green revolution which increased the annual food production of India drastically was made possible by the application of science and technology to agriculture. The total technological inputs to the farming sector has been growing steadily and is difficult to quantify. Therefore, to simplify the forecasting models of food production in India, the total technological inputs to the agricultural sector is assumed to increase by unit amount every year. Two indirect but slightly different models to forecast the annual food production of India are presented in this note. Both the models use yearly variations in SW monsoon rainfall in different forms as one of the parameters. Data on annual food production of India and average crop area of subdivisions were obtained from reports of Indian Agricultural Ministry or other Government of India publications such as India, 1998. Data on SW monsoon rainfall are from reports of India Meteorological Department such as Mausam. The all India rainfall anomaly values are computed from the sub-divisional rainfally data following the methods of Mooley and Parthasarathy.
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| Date |
2006-08-26T10:22:53Z
2006-08-26T10:22:53Z 2000 |
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| Type |
Journal Article
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| Identifier |
Current Science, vol. 79(1), 23-24pp.
http://drs.nio.org/drs/handle/2264/255 |
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| Language |
en
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| Format |
43551 bytes
application/pdf |
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| Publisher |
Indian Academy of Sciences
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