[HTML][HTML] Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review
Timely and accurate detection of diseases in vegetables is crucial for effective management
and mitigation strategies before they take a harmful turn. In recent years, convolutional …
and mitigation strategies before they take a harmful turn. In recent years, convolutional …
Sustainable smart system for vegetables plant disease detection: Four vegetable case studies
Agriculture is the backbone of the country's economy. People depend on agriculture for food
and exporting to generate income. However, agriculture faces various diseases that affect …
and exporting to generate income. However, agriculture faces various diseases that affect …
Identification of Leaf Diseases of Different Crops using modified ResNet50
Every country's income depends heavily on the agriculture sector. Agriculture output is
influenced by a wide range of factors, including crop health, weather, water availability, and …
influenced by a wide range of factors, including crop health, weather, water availability, and …
Deep Learning Based Effective Rice Leaf Disease Classification using MobileNet-Attention
Agriculture is one of the most promising fields for contributing to the growth of the economy
of the country. Rice is considered as one of the important crops that contributes to the …
of the country. Rice is considered as one of the important crops that contributes to the …
PortableNet: An Automatical Diagnosis Method for Gastrointestinal Motility Analysis
J Lin, X Wu, Q Chen, C Guo, L Ma, S Luo, J Huang - 2024 - researchsquare.com
Gastrointestinal motility serves as a crucial diagnostic indicator for functional gastric
disorders. However, manual analysis of swallowing cloud images in gastrointestinal motility …
disorders. However, manual analysis of swallowing cloud images in gastrointestinal motility …