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Early Detection of Disease in Tomatoes: Using Artificial Intelligence and Machine Learning Second Edition - Softcover
Inhaltsangabe
Plant diseases and pests are a serious problem in agriculture. Accurate and faster detection of diseases and pests in plants could aid in the development of an early treatment method while significantly lowering economic losses. In this regard, the introduction of deep learning-based image classification has resulted in a significant number of solutions. The primary goal of this research is to detect tomato plant leaf illnesses more quickly by adopting Deep Learning (DL), which can be efficiently utilised for image classification utilising various convolutional neural network (CNN) architectures including VGG-16, ResNet34 and EfficentNet0.Some pre-processing techniques were done on the data before concluding data preparation. An imbalance among the classes was discovered in the dataset, which was remedied using weighted random sample techniques to avoid bias. Model optimization was done to improve perform of the model.The result of the predictions is embedded in an interactive GUI. The GUI allows shows the disease detected. The user may just put their own image for it to detect the class of disease.
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Über die Autorin bzw. den Autor
I'm passionate about AI, focusing on projects that bridge technology with real-world challenges. I've developed a deep learning model for early disease detection in tomato plants, demonstrating AI's potential in agriculture. Now, I'm exploring AI's role in genetics, aiming to advance personalized medicine and improve health outcomes.
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Early Detection of Disease in Tomatoes
Verlag:
LAP LAMBERT Academic Publishing Feb 2026, 2026
ISBN 10: 6209602118
ISBN 13: 9786209602115
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Bestandsnummer des Verkäufers 9786209602115
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Early Detection of Disease in Tomatoes : Using Artificial Intelligence and Machine Learning Second Edition
Verlag:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209602118
ISBN 13: 9786209602115
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Plant diseases and pests are a serious problem in agriculture. Accurate and faster detection of diseases and pests in plants could aid in the development of an early treatment method while significantly lowering economic losses. In this regard, the introduction of deep learning-based image classification has resulted in a significant number of solutions. The primary goal of this research is to detect tomato plant leaf illnesses more quickly by adopting Deep Learning (DL), which can be efficiently utilised for image classification utilising various convolutional neural network (CNN) architectures including VGG-16, ResNet34 and EfficentNet0.Some pre-processing techniques were done on the data before concluding data preparation. An imbalance among the classes was discovered in the dataset, which was remedied using weighted random sample techniques to avoid bias. Model optimization was done to improve perform of the model.The result of the predictions is embedded in an interactive GUI. The GUI allows shows the disease detected. The user may just put their own image for it to detect the class of disease. Bestandsnummer des Verkäufers 9786209602115
Neu kaufen
EUR 44,43
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Early Detection of Disease in Tomatoes
Verlag:
LAP LAMBERT Academic Publishing Feb 2026, 2026
ISBN 10: 6209602118
ISBN 13: 9786209602115
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Plant diseases and pests are a serious problem in agriculture. Accurate and faster detection of diseases and pests in plants could aid in the development of an early treatment method while significantly lowering economic losses. In this regard, the introduction of deep learning-based image classification has resulted in a significant number of solutions. The primary goal of this research is to detect tomato plant leaf illnesses more quickly by adopting Deep Learning (DL), which can be efficiently utilised for image classification utilising various convolutional neural network (CNN) architectures including VGG-16, ResNet34 and EfficentNet0.Some pre-processing techniques were done on the data before concluding data preparation. An imbalance among the classes was discovered in the dataset, which was remedied using weighted random sample techniques to avoid bias. Model optimization was done to improve perform of the model.The result of the predictions is embedded in an interactive GUI. The GUI allows shows the disease detected. The user may just put their own image for it to detect the class of disease.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9786209602115
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Early Detection of Disease in Tomatoes | Using Artificial Intelligence and Machine Learning Second Edition
Verlag:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209602118
ISBN 13: 9786209602115
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. Early Detection of Disease in Tomatoes | Using Artificial Intelligence and Machine Learning Second Edition | Azeezat Ojoogun | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209602115 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134601038
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