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AppleCaps: A Capsule Model for Classification of Foliar Diseases in Apple Leaves

Sonkusare, Rakhi Ashok (2021) AppleCaps: A Capsule Model for Classification of Foliar Diseases in Apple Leaves. Masters thesis, Dublin, National College of Ireland.

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Foliar diseases in apple leaves are characterized by distinct spots on the leaves that appear in different shapes and colours. Frog Eye Leaf spot, Scab, Rust and Powdery Mildew are the most common Foliar diseases affecting the productivity of apple orchards. This research proposes a novel deep learning network AppleCaps for accurate classification of multi-class disease classes and overcoming the limitation of spatial invariance in CNNs. Two baseline CNN models EfficientNet-B3 and ResNet152 are implemented, and their performances are compared and evaluated with the AppleCaps model when exposed to the augmented dataset. Experimental results showed that Capsule Networks provided better performance with an accuracy of 87.06% in classifying the disease type in apple leaves. Hyperparameter tuning with Random Search optimization is used to optimize the model performance, and the results are compared based on accuracy, precision, recall, F1-score and validation loss. Data augmentation techniques helped improve the performance of AppleCaps and CNN models. This research will help farmers identify apple leaf diseases at an early stage of diagnosis and prevent losses to agricultural fields.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Foliar Leaf Disease Detection; Deep Learning; Capsule Network; EfficientNet-B3; ResNet152; Data Augmentation; HyperParameter Tuning; Image Processing
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
S Agriculture > SB Plant culture
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 13 Mar 2023 12:51
Last Modified: 13 Mar 2023 12:51

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