Plant Disease Forecasting Systems

Procedure, Application and Prospect

Häftad, Engelska, 2024

AvDilip Kumar Chakrabarti,Prabhat Mittal

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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.

Produktinformation

Utgivningsdatum2024-05-12
Mått155 x 235 x 9 mm
Vikt230 g
FormatHäftad
SpråkEngelska
Antal sidor126
FörlagSpringer Verlag, Singapore
ISBN9789819912124

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Dr. D. K. Chakrabarti graduated (Plant Pathology.) from West Bengal. He was the Prof. at ND Agri. Univ., Uttar Pradesh. Currently he is the Visiting Prof. in B. C. Agri. Univ., W. Bengal. He received 9 National /Professional Society Awards including Indian National Sci. Acad. Young Sci. Medal (1980), Kothari Research Award (1980), Indian Sci. Cong. Young Sci. Award (1982), U.P. (Govt.) Best Agri Sci. Award (2001). Dr. Prabhat Mittal is a Professor in the Department of Commerce & Management, Satyawati College, Delhi University. He did Ph.D. from the Faculty of Management Studies (FMS), University of Delhi, and has published many research articles in the fields of supply chain management, quantitative finance, and big data analytics.

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.

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