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A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …
must be considered to develop a robust system for accurate disease management. A …
Intelligent plant disease diagnosis using convolutional neural network: a review
In recent times use of different technologies for intelligent crop production is growing. To
increase the production of crops, diagnosing a plant disease is very important. Plant …
increase the production of crops, diagnosing a plant disease is very important. Plant …
Plant disease detection and classification techniques: a comparative study of the performances
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …
[HTML][HTML] Plant leaf disease detection using computer vision and machine learning algorithms
Agriculture provides food to all the human beings even in case of rapid increase in the
population. It is recommended to predict the plant diseases at their early stage in the field of …
population. It is recommended to predict the plant diseases at their early stage in the field of …
Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM
Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …
complex patterns precisely. This study proposed a computerized process of classifying skin …
Transfer learning-based deep ensemble neural network for plant leaf disease detection
Plant diseases are a vital risk to crop yield and early detection of plant diseases remains a
complex task for the farmers due to the similar appearance in color, shape, and texture. In …
complex task for the farmers due to the similar appearance in color, shape, and texture. In …
Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique
Plant pests and diseases play a significant role in reducing the quality of agricultural
products. As one of the most important plant pathogens, pests like Mediterranean fruit fly …
products. As one of the most important plant pathogens, pests like Mediterranean fruit fly …
A performance-optimized deep learning-based plant disease detection approach for horticultural crops of New Zealand
Deep learning-based plant disease detection has gained significant attention from the
scientific community. However, various aspects of real horticultural conditions have not yet …
scientific community. However, various aspects of real horticultural conditions have not yet …
[HTML][HTML] Meta deep learn leaf disease identification model for cotton crop
Agriculture is essential to the growth of every country. Cotton and other major crops fall into
the cash crops. Cotton is affected by most of the diseases that cause significant crop …
the cash crops. Cotton is affected by most of the diseases that cause significant crop …
[HTML][HTML] Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques
Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …
cause significant damage to crop cultivation, leading to reduced yields and economic …