2023
DOI: 10.1007/s11042-023-15909-6
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Automatic guava disease detection using different deep learning approaches

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Cited by 7 publications
(1 citation statement)
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“…Miaomiao et al 11 developed a united model by combining features from InceptionV3 and ResNet50 to diagnose grape leaf diseases. Tewari et al 12 developed and compared different models on the guava disease dataset using transfer learning and CNN. To diagnose potato leaf diseases, suggested a technique 13 employing two transfer learning models, VGG16 and VGG19.…”
Section: Introductionmentioning
confidence: 99%
“…Miaomiao et al 11 developed a united model by combining features from InceptionV3 and ResNet50 to diagnose grape leaf diseases. Tewari et al 12 developed and compared different models on the guava disease dataset using transfer learning and CNN. To diagnose potato leaf diseases, suggested a technique 13 employing two transfer learning models, VGG16 and VGG19.…”
Section: Introductionmentioning
confidence: 99%