A Forecasting Technique for Powdery Mildew Disease Prediction in Tomato Plants
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3346-1_41
Reference20 articles.
1. Jones, W. B., & Thomson, S. V. (1987). Source of inoculum, yield, and quality of tomato as affected by Leveillula taurica. Plant disease, 71(3), 266–268.
2. Bakeer, A. R. T., Abdel-Latef, M. A. E., Afifi, M. A., & Barakat, M. E. (2013). Validation of tomato powdery mildew forecasting model using meteorological data in Egypt. International Journal of Agriculture Sciences, 5(2), 372.
3. Verma, S., Bhatia, A., Chug, A., & Singh, A. P. (2020). Recent advancements in multimedia big data computing for IoT applications in precision agriculture: opportunities, issues, and challenges. In Multimedia big data computing for IoT applications (pp. 391–416). Springer, Singapore.
4. Fuentes, A., Yoon, S., Kim, S. C., & Park, D. S. (2017). A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition. Sensors, 17(9), 2022.
5. Verma, S., Chug, A., & Singh, A. P (2018). Prediction models for identification and diagnosis of tomato plant diseases. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1557—1563).
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