An Introduction to the Art of Agrometereological Crop Yield Forecasting Using Multiple Regression
| dc.coverage | Bangladesh | |
| dc.creator | Gommes, R. | |
| dc.date | 2023-04-27T11:53:20Z | |
| dc.date | 2023-04-27T11:53:20Z | |
| dc.date | 2001 | |
| dc.date | 2019-05-30T17:19:42.0000000Z | |
| dc.date.accessioned | 2026-06-28T00:52:41Z | |
| dc.description | It is suggested that the approach used by FAO and a number of developing countries for crop forecasting at the national level strikes a good compromise between input requirements and ease of validation. The article thus describes the FAO crop modelling and forecasting philosophy. | |
| dc.format | 38 p. | |
| dc.format | application/pdf | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/AU032E | |
| dc.identifier | http://www.fao.org/3/a-au032e.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/321368 | |
| dc.language | English | |
| dc.rights | FAO | |
| dc.title | An Introduction to the Art of Agrometereological Crop Yield Forecasting Using Multiple Regression | |
| dc.title | An Introduction to the Art of Agrometereological Crop Yield Forecasting Using Multiple Regression | |
| dc.title | Crop Yeald Forecasting and Agrometeorology Sub-Project UTF/BGD/029, ASIRP/DAE | |
| dc.type | Document |