A survey of the vision transformers and their CNN-transformer based variants
Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …
networks (CNNs) for a variety of computer vision applications. These transformers, with their …
A comprehensive review on Plant Leaf Disease detection using Deep learning
Leaf disease is a common fatal disease for plants. Early diagnosis and detection is
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review
Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching
implications for yield and quality in the tea industry. The rise of machine learning has …
implications for yield and quality in the tea industry. The rise of machine learning has …
Deep Learning-Based Disease Detection in Sugarcane Leaves: Evaluating EfficientNet Models
Sugarcane is a crucial agricultural crop, providing 75% of the world's sugar production. Like
all plant species, any disease that affects sugarcane can significantly impact yield and …
all plant species, any disease that affects sugarcane can significantly impact yield and …
Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture
Precision agriculture, driven by advancements in sensing technologies and data analytics,
offers promising solutions for addressing challenges in paddy disease management. Paddy …
offers promising solutions for addressing challenges in paddy disease management. Paddy …
A survey of unmanned aerial vehicles and deep learning in precision agriculture
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis
Plant leaf disease detection has a considerable influence on the safety of crop quality.
However, distinguishing different symptoms in leaves is a challenging task. Newfangled …
However, distinguishing different symptoms in leaves is a challenging task. Newfangled …
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
A Upadhyay, NS Chandel, KP Singh… - Artificial Intelligence …, 2025 - Springer
Plant diseases cause significant damage to agriculture, leading to substantial yield losses
and posing a major threat to food security. Detection, identification, quantification, and …
and posing a major threat to food security. Detection, identification, quantification, and …
Data-efficient vision transformer models for robust classification of sugarcane
Sugar cane is an important agricultural product that provides 75% of the world's sugar
production. As with all plant species, any disease affecting sugarcane can significantly …
production. As with all plant species, any disease affecting sugarcane can significantly …
Recent advances in Transformer technology for agriculture: A comprehensive survey
Intelligent agriculture is critical for guiding agricultural production and enhancing efficiency
through early disease diagnosis, yield estimation, automatic harvest, and postharvest …
through early disease diagnosis, yield estimation, automatic harvest, and postharvest …