Cargando…
BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model
Early and accurate tomato disease detection using easily available leaf photos is essential for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics. This paper aims to visually identify nine different infectious diseases (bacterial spot, early blight, Septoria lea...
Autores principales: | Bhandari, Mohan, Shahi, Tej Bahadur, Neupane, Arjun, Walsh, Kerry Brian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964407/ https://www.ncbi.nlm.nih.gov/pubmed/36826972 http://dx.doi.org/10.3390/jimaging9020053 |
Ejemplares similares
-
Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks
por: Bhandari, Mohan, et al.
Publicado: (2023) -
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
por: Bhandari, Mohan, et al.
Publicado: (2022) -
Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach
por: Chaudhary, Nirmal, et al.
Publicado: (2022) -
A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images
por: Shahi, Tej Bahadur, et al.
Publicado: (2023) -
Fruit classification using attention-based MobileNetV2 for industrial applications
por: Shahi, Tej Bahadur, et al.
Publicado: (2022)