Weather-based forecasting models for false smut disease of rice (Oryza sativa L.) in West Bengal
To evaluate the effect of weather parameters and develop prediction models for rice false smut disease, metrological data were obtained from the Department of Agricultural Meteorology, Bidhan Chandra Krishi Vishwavidyalaya.The temporal dynamics of disease development were modelled using three non-linear growth models i.e., Logistic, Gompertz, and Monomolecular and compared against a Multiple Linear Regression (MLR) model.
Authors
- Sukram Thapa
- Deewakar Baral (ORCID: https://orcid.org/0000-0002-7800-5990)
- Pravallikasree Rayanoothala
- Bikash Subba (ORCID: https://orcid.org/0000-0002-6742-5893)
- Achal Lama (ORCID: https://orcid.org/0000-0002-5376-3760)
- Sunita Mahapatra (ORCID: https://orcid.org/0000-0002-8476-0490)
- Srikanta Das (ORCID: https://orcid.org/0000-0002-1035-3710)
Institutions
- Bidhan Chandra Krishi Viswavidyalaya (IN)
- Lovely Professional University (IN)
- Indian Agricultural Statistics Research Institute (IN)
- Centurion University of Technology and Management (IN)
Publication Details
- Journal
- Journal of Agrometeorology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.54386/jam.v27i3.2913
- Citations
- 1
- Primary Topic
- Plant Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.75