Early Detection of Disease in Tomatoes

Language: English

Published by LAP LAMBERT Academic Publishing Aug 2024, 2024

6208011868 / 9786208011864

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Softcover

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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.…

Seller Inventory # 9786208011864

Title
Early Detection of Disease in Tomatoes
Author
Azeezat Ojoogun
Publisher
LAP LAMBERT Academic Publishing Aug 2024
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6208011868
ISBN 13
9786208011864
Item weight
96 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur

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