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ESOS-based models detect plant leaf diseases with greater accuracy, precision, recall, and F1-score. The ESOS approach increased CNN model performance, suggesting it might be used for hyperparameter optimization in deep learning-based plant disease detection applications.
Jan 10, 2024
As a result, DenseNet demonstrates an optimal accuracy rate of 98% when compared to other models. Keywords: Plant disease detection, tomato plant leaf disease ...
Jan 10, 2024 · This study examines the impact of six popular CNN models: DenseNet, MobileNet, EfficientNet, VGG19, ResNet and Inception.
This study examines the impact of six popular CNN models: DenseNet, MobileNet, EfficientNet, VGG19, ResNet and Inception, and extensively contrast the ...
Six different Convolutional Neural Networks (CNNs) that accept plant leaf images as input, along with the Enhanced Symbiotic Organism Search (ESOS) optimization ...
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Apr 24, 2024 · In addition, the hyperparameters of the SLSTM algorithm are adjusted using the Enhanced Symbiotic Organism Search (ESOS) approach.
In this paper, we propose a metaheuristic enhanced discrete symbiotic organism search (eDSOS) algorithm for optimal task scheduling in the cloud computing ...
May 26, 2024 · This study presents a novel method for accurately and efficiently classifying plant leaves based on different diseases and health conditions.
Oct 22, 2024 · The SOS algorithm has been successfully used to solve many complex and challenging problems. 24 In the SOS mechanism, when the results obtained ...
The opposition-based symbiotic organisms search algorithm is used to tune the parameters of the model. Plants like citrus, guava, eggplant, and mango leaves ...