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Optimizing Artificial Neural Network-Based Models to Predict Rice Blast Epidemics in Korea
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Plant Pathol J. 2022;38(4):395-402. Published online 2022 Aug 1 DOI: https://doi.org/10.5423/PPJ.NT.04.2022.0062
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Citations to this article as recorded by
 Smart Farming for Sustainable Rice Production: An Insight into Application, Challenge, and Future Prospect
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Rice Science.2024; 31(1): 47. CrossRef Determining the minimum data size for the development of artificial neural network-based prediction models for rice pests in Korea
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Computers and Electronics in Agriculture.2024; 220: 108865. CrossRef Adapting to the projected epidemics of Fusarium head blight of wheat in Korea under climate change scenarios
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Frontiers in Plant Science.2022;[Epub] CrossRef
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