Recognize and classify illnesses on tomato leaves using EfficientNet's Transfer Learning Approach with different size dataset
P Buchke, AVR Mayuri - Signal, Image and Video Processing, 2024 - Springer
This study focuses on the remarkable progress made by the agricultural sector in utilizing
image processing techniques for early detection and classification of leaf plant diseases …
image processing techniques for early detection and classification of leaf plant diseases …
EffiMob-Net: A deep learning-based hybrid model for detection and identification of tomato diseases using leaf images
As tomatoes are the most consumed vegetable in the world, production should be increased
to fulfill the vast demand for this vegetable. Global warming, climate changes, and other …
to fulfill the vast demand for this vegetable. Global warming, climate changes, and other …
Towards Automated Detection of Tomato Leaf Diseases
Prompt detection of plant diseases is crucial due to their detrimental impact on society,
ecology, and economy. Accurate categorization of tomato leaf diseases is essential for …
ecology, and economy. Accurate categorization of tomato leaf diseases is essential for …
Deep convolutional neural network approach for tomato leaf disease classification
Plant disease detection and classification are required to identify the early symptoms of
disease in plants and crops to avoid their mitigation to entire croplands. Deep learning is …
disease in plants and crops to avoid their mitigation to entire croplands. Deep learning is …
[PDF][PDF] Tomato disease detection model based on densenet and transfer learning
Plant diseases are a foremost risk to the safety of food. They have the potential to
significantly reduce agricultural products quality and quantity. In agriculture sectors, it is the …
significantly reduce agricultural products quality and quantity. In agriculture sectors, it is the …
Tomato leaf diseases detection using deep learning technique
Plants are a major source of food for the world population. Plant diseases contribute to
production loss, which can be tackled with continuous monitoring. Manual plant disease …
production loss, which can be tackled with continuous monitoring. Manual plant disease …
Smart detection of tomato leaf diseases using transfer learning-based convolutional neural networks
A Saeed, AA Abdel-Aziz, A Mossad, MA Abdelhamid… - Agriculture, 2023 - mdpi.com
Plant diseases affect the availability and safety of plants for human and animal consumption
and threaten food safety, thus reducing food availability and access, as well as reducing …
and threaten food safety, thus reducing food availability and access, as well as reducing …
Prediction of Tomato Leaf Disease Plying Transfer Learning Models
BS Vidhyasagar, K Harshagnan, M Diviya… - … International Internet of …, 2023 - Springer
The tomato has a high market value and is one of the vegetables grown in the most
significant quantity globally. Tomato plants are susceptible to diseases, which can …
significant quantity globally. Tomato plants are susceptible to diseases, which can …
Impact of efficientnetb3 for stratification of tomato leaves disease
India's rapidly expanding agriculture sector relies on early leaf detection. For the agricultural
sector to succeed in its mission of feeding a large population, early detection of leaf …
sector to succeed in its mission of feeding a large population, early detection of leaf …
A smartphone-based detection system for tomato leaf disease using efficientNetV2B2 and its explainability with artificial intelligence (AI)
The occurrence of tomato diseases has substantially reduced agricultural output and
financial losses. The timely detection of diseases is crucial to effectively manage and …
financial losses. The timely detection of diseases is crucial to effectively manage and …