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Plant disease forecasting systems = ...
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Chakrabarti, D. K.
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Plant disease forecasting systems = procedure, application and prospect /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Plant disease forecasting systems/ by Dilip Kumar Chakrabarti, Prabhat Mittal.
其他題名:
procedure, application and prospect /
作者:
Chakrabarti, D. K.
其他作者:
Mittal, Prabhat.
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
1 online resource (xviii, 126 p.) :ill., digital ;24 cm.
內容註:
1. 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.
Contained By:
Springer Nature eBook
標題:
Plant diseases - Forecasting. -
電子資源:
https://doi.org/10.1007/978-981-99-1210-0
ISBN:
9789819912100
Plant disease forecasting systems = procedure, application and prospect /
Chakrabarti, D. K.
Plant disease forecasting systems
procedure, application and prospect /[electronic resource] :by Dilip Kumar Chakrabarti, Prabhat Mittal. - Singapore :Springer Nature Singapore :2023. - 1 online resource (xviii, 126 p.) :ill., digital ;24 cm.
1. 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.
This 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.
ISBN: 9789819912100
Standard No.: 10.1007/978-981-99-1210-0doiSubjects--Topical Terms:
3633259
Plant diseases
--Forecasting.
LC Class. No.: SB731
Dewey Class. No.: 632.3
Plant disease forecasting systems = procedure, application and prospect /
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This 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.
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