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Identification method of corn leaf disease based on improved Mobilenetv3 model
C Bi, S Xu, N Hu, S Zhang, Z Zhu, H Yu - Agronomy, 2023 - mdpi.com
Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …
However, the corn leaf disease has seriously affected the yield and quality of corn. To …
An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Introduction Recently, plant disease detection and diagnosis procedures have become a
primary agricultural concern. Early detection of plant diseases enables farmers to take …
primary agricultural concern. Early detection of plant diseases enables farmers to take …
An ensemble hybrid framework: a comparative analysis of metaheuristic algorithms for ensemble hybrid CNN features for plants disease classification
A stable and sustainable food supply chain is only possible with effective agriculture
management. The application of technology in agriculture has recently produced …
management. The application of technology in agriculture has recently produced …
End‐to‐End Semantic Leaf Segmentation Framework for Plants Disease Classification
Pernicious insects and plant diseases threaten the food science and agriculture sector.
Therefore, diagnosis and detection of such diseases are essential. Plant disease detection …
Therefore, diagnosis and detection of such diseases are essential. Plant disease detection …
A novel plant disease diagnosis framework by integrating semi-supervised and ensemble learning
Plant disease diagnosis is one of the latest critical research areas of sustainable agriculture.
The evolution of computer vision-based systems in order to identify, classify and localize …
The evolution of computer vision-based systems in order to identify, classify and localize …
Improved AlexNet with Inception‐V4 for Plant Disease Diagnosis
Z Li, C Li, L Deng, Y Fan, X **ao, H Ma… - Computational …, 2022 - Wiley Online Library
Timely disease detection and pest treatment are key issues in modern agricultural
production, especially in large‐scale crop agriculture. However, it is very time and effort …
production, especially in large‐scale crop agriculture. However, it is very time and effort …
[HTML][HTML] AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite
M Reda, R Suwwan, S Alkafri, Y Rashed, T Shanableh - Informatics, 2022 - mdpi.com
This paper aims to assist novice gardeners in identifying plant diseases to circumvent
misdiagnosing their plants and to increase general horticultural knowledge for better plant …
misdiagnosing their plants and to increase general horticultural knowledge for better plant …
Multi-Class Plant Leaf Disease Detection: A CNN-based Approach with Mobile App Integration
MAH Foysal, F Ahmed, MZ Haque - arxiv preprint arxiv:2408.15289, 2024 - arxiv.org
Plant diseases significantly impact agricultural productivity, resulting in economic losses and
food insecurity. Prompt and accurate detection is crucial for the efficient management and …
food insecurity. Prompt and accurate detection is crucial for the efficient management and …
Data augmentation for improving rice leaf disease classification on residual network architecture
AP Shaji, S Hemalatha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In this modern era, various advanced deep learning architectures are evolving to categorize
plant diseases. Deep learning is being considered to be an important aspect of feature …
plant diseases. Deep learning is being considered to be an important aspect of feature …
Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crop Using Leaf Images
Maize is a staple crop worldwide, essential for food security, livestock feed, and industrial
uses. Its health directly impacts agricultural productivity and economic stability. Effective …
uses. Its health directly impacts agricultural productivity and economic stability. Effective …