LEADER 03451nam 22006495 450 001 9910726292003321 005 20250610110030.0 010 $a981-9912-10-5 024 7 $a10.1007/978-981-99-1210-0 035 $a(CKB)26748101000041 035 $a(MiAaPQ)EBC7248749 035 $a(Au-PeEL)EBL7248749 035 $a(DE-He213)978-981-99-1210-0 035 $a(BIP)088808978 035 $a(PPN)270619747 035 $a(MiAaPQ)EBC7247911 035 $a(EXLCZ)9926748101000041 100 $a20230510d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPlant Disease Forecasting Systems $eProcedure, Application and Prospect /$fby Dilip Kumar Chakrabarti, Prabhat Mittal 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (135 pages) 311 08$a9789819912094 320 $aIncludes bibliographical references. 327 $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. 330 $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. . 606 $aPlant diseases 606 $aEcology 606 $aAgriculture 606 $aBotany 606 $aPlant Pathology 606 $aEcology 606 $aAgriculture 606 $aPlant Science 615 0$aPlant diseases. 615 0$aEcology. 615 0$aAgriculture. 615 0$aBotany. 615 14$aPlant Pathology. 615 24$aEcology. 615 24$aAgriculture. 615 24$aPlant Science. 676 $a632.3 700 $aChakrabarti$b Dilip K.$0636778 702 $aMittal$b Prabhat 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910726292003321 996 $aPlant Disease Forecasting Systems$93385662 997 $aUNINA