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| 003 | ES-MaUEC | ||
| 005 | 20240429094954.0 | ||
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| 008 | 230510s2023 si | fo |||| 0|eng d | ||
| 020 | _a9789819912100 | ||
| 024 | 7 |
_a10.1007/978-981-99-1210-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aSB731 _b2023 EB |
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| 100 | 1 |
_aChakrabarti, D. K. _q(Dilip Kumar) _d1948- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9690105 |
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| 245 | 1 | 0 |
_aPlant Disease Forecasting Systems : _bProcedure, Application and Prospect _cby Dilip Kumar Chakrabarti, Prabhat Mittal |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aSingapore _bSpringer Nature Singapore _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 505 | 0 | _a1. Historic Plant Disease Epidemics -- 2. Epidemic Factors -- 3. Predicting Variables. 4.Criteria to Develop Forecast -- 5. Modeling of Epidemic Dynamic -- 6. Decision Support Systems (DSSs) -- 7. Expert System -- 8. Geographic Information Systems: Web-Based Disease Forecasting -- 9. Decision Support Systems and Expert Systems: A Comparison -- 10. Forecasting in Changed Climate -- 11. Disease Detection: Imaging Technology and Remote Sensing -- 12. Classical Disease Forecasting Systems. | |
| 520 | _aThis book focus on creating popularity and interest in modeling, derivation of equations for plant disease forecasting or construction and use of Web-based Expert Systems among plant pathologists. This book covers descriptions of many historic plant disease epidemics, various forecasting systems and methods of their construction, instruments required for study of plant disease epidemics, widely used commercial forecasting systems and present global scenario of forecasting. In the human history plant disease epidemics have brought unsurmountable misery many a times. Still breaking out of epidemic in any time in any part of the world is a stark reality. The panic spraying of chemical pesticides is not a panacea. Only the IPM technology may give relief. This technology if backed by the disease forewarning system may yield the desired results. Hence, an in depth understanding of plant disease forecasting system and its successful implementation may bring the global food security. This title provides a useful background for all students, practitioners, and researchers interested in the field of epidemiology, food security and agriculture sciences. . | ||
| 988 | _aSpringer_BiomedLife_2023 | ||
| 650 | 7 |
_2embne _9139455 _aPatología vegetal |
|
| 700 | 1 |
_9690151 _aMittal, Prabhat _eautor |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-1210-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b04/2024 _dz _eb _zSI |
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