September 5, 2025Journal of AgrometeorologyOpen Access

Combining satellite and meteorological insights for yellow stem borer risk prediction in rice cultivation

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The model predicts peak yellow stem borer population with an R² of 0.77, indicating strong forecasting ability.
Using 19 years of data, predictors included land surface wetness index and maximum temperature for risk zoning.
A generated risk map shows much of Raipur is in a low pest risk zone, indicating effective management strategies.
Integrating satellite-based variables improves pest forewarning systems, offering better agromet-advisory services.

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Implication

Observational analysis combines weather parameters and vegetation indices to predict yellow stem borer risk in rice, suggesting improved pest management techniques.

Cite This Study

Tiwari et al. (2025) studied this question.

synapsesocial.com/papers/68c23966b210217d6477c232 https://doi.org/10.54386/jam.v27i3.2918

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Implication

Observational analysis combines weather parameters and vegetation indices to predict yellow stem borer risk in rice, suggesting improved pest management techniques.

Combining satellite and meteorological insights for yellow stem borer risk prediction in rice cultivation

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Discussion

Implication

Cite This Study

Combining satellite and meteorological insights for yellow stem borer risk prediction in rice cultivation

Key Points

Discussion

Implication

Cite This Study

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