A Novel Standalone Internet of Things Enabled Device for Detection of Rotten Fruits in Cold Storage Systems

Published: Sept. 18, 2024

Language: Английский

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Advancing mango leaf variant identification with a robust multi-layer perceptron model

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

Mango, often regarded as the "king of fruits," holds a significant position in Bangladesh's agricultural landscape due to its popularity among general population. However, identifying different types mangoes, especially from mango leaves, poses challenge for most people. While some studies have focused on type identification using fruit images, limited work has been done classifying based leaf images. Early through analysis is crucial taking proactive steps cultivation process. This research introduces novel multi-layer perceptron model called WaveVisionNet, designed address this datasets collected five regions Bangladesh. The MangoFolioBD dataset, comprising 16,646 annotated high-resolution images curated and augmented enhance robustness real-world conditions. To validate model, WaveVisionNet evaluated both publicly available dataset achieving accuracy rates 96.11% 95.21%, respectively, outperforming state-of-the-art models such Vision Transformer transfer learning models. effectively combines strengths lightweight Convolutional Neural Networks noise-resistant techniques, allowing accurate while minimizing impact noise environmental factors. application automated offers benefits farmers, experts, agri-tech companies, government agencies, consumers by enabling precise diagnosis plant health, enhancing practices, ultimately improving crop yields quality.

Language: Английский

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Risk assessment of cold chain logistics in intelligent and connected environment

Published: Dec. 20, 2024

Language: Английский

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