ArticleComputational intelligence and neuroscience2022
Olive Disease Classification Based on Vision Transformer and CNN Models.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- An AI-Driven Multimodal Sensing Framework Integrating UAV Imagery and Environmental Sensors for Intelligent Farmland Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification.Frontiers in systems biology · 2026Article
- ApaltAI: a web-based diagnostic system with a sequential voting architecture for detecting anthracnose and scab in avocado fruit.Frontiers in plant science · 2026Article
- A computationally efficient hybrid framework combining deep feature extraction and gradient boosting for early diagnosis of Olive leaf diseases.Scientific reports · 2025Article
- A Review on the Detection of Plant Disease Using Machine Learning and Deep Learning Approaches.Journal of imaging · 2025Review
- VCPC: virtual contrastive constraint and prototype calibration for few-shot class-incremental plant disease classification.Plant methods · 2025Article
- Using image augmentation techniques and convolutional neural networks to identify insect infestations on tomatoes.Heliyon · 2025Article
- OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection.Frontiers in big data · 2025Article
- Explainable AI and mobile imaging for non-destructive avocado ripeness and internal quality assessment to reduce food waste.Current research in food science · 2025Article
- CDPNet: a deformable ProtoPNet for interpretable wheat leaf disease identification.Frontiers in plant science · 2025Article
- Deep learning for mango leaf disease identification: A vision transformer perspective.Heliyon · 2024Article
- Improved Transformer for Time Series Senescence Root Recognition.Plant phenomics (Washington, D.C.) · 2024Article
- A deep learning-based model for plant lesion segmentation, subtype identification, and survival probability estimation.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been noted that disease detection approaches based on deep learning are becoming increasingly important in artificial intelligence-based research in the field of agriculture. Studies conducted in this area are not at the level that is desirable due to the diversity of plant species and the regional characteristics of many of these species. Although numerous researchers have studied diseases on plant leaves, it is undeniable that timely diagnosis of diseases on olive leaves remains a difficult task. It is estimated that people have been cultivating olive trees for 6000 years, making it one of the most useful and profitable fruit trees in history. Symptoms that appear on infected leaves can vary from one plant to another or even between individual leaves on the same plant. Because olive groves are susceptible to a variety of pathogens, including bacterial blight, olive knot,
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