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- W4318969258 abstract "Purpose:Many research efforts have been offered in recent years to assist farmers in recognizing papaya infections, which has a significant advantage in the machine learning field.Method:Using a CNN algorithm, we will determine which condition is effective and offer the appropriate medication to cure that ailment, allowing us to take the essential actions on time.Result:In the CNN algorithm, we are using Inception as the key architecture. By using inception, we can get approximately 97% of accuracy." @default.
- W4318969258 created "2023-02-03" @default.
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- W4318969258 date "2022-12-08" @default.
- W4318969258 modified "2023-10-06" @default.
- W4318969258 title "A Novel Scheme for Papaya Fruit Disease Prediction and Classification using Convolutional Neural Networks" @default.
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- W4318969258 doi "https://doi.org/10.1109/icdsaai55433.2022.10028918" @default.
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