Plant disease detection using computational intelligence and image processing
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …
numerous countries including India. Diseases in plants/crops are the serious causes in …
Plant diseases recognition on images using convolutional neural networks: A systematic review
Plant diseases are considered one of the main factors influencing food production and
minimize losses in production, and it is essential that crop diseases have fast detection and …
minimize losses in production, and it is essential that crop diseases have fast detection and …
Tomato plant disease detection using transfer learning with C-GAN synthetic images
Plant diseases and pernicious insects are a considerable threat in the agriculture sector.
Therefore, early detection and diagnosis of these diseases are essential. The ongoing …
Therefore, early detection and diagnosis of these diseases are essential. The ongoing …
Agricultural plant diseases identification: From traditional approach to deep learning
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …
population rate increases the demand for food supply also increases. Today, the significant …
A novel framework for potato leaf disease detection using an efficient deep learning model
Potato disease management plays a valuable role in the agriculture field as it might cause a
significant loss in crops production. Therefore, timely recognition and classification of potato …
significant loss in crops production. Therefore, timely recognition and classification of potato …
VGG-ICNN: A Lightweight CNN model for crop disease identification
Crop diseases cause a substantial loss in the quantum and quality of agricultural production.
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …
extremely important to ensure that healthy food is available for the survival of the inhabitants …
Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms
MM Ozguven, K Adem - Physica A: statistical mechanics and its applications, 2019 - Elsevier
Depending on the severity of the leaf spot disease in the field, it can cause a loss in sugar
yield by 10% to 50%. Therefore, disease symptoms should be detected on-time and relevant …
yield by 10% to 50%. Therefore, disease symptoms should be detected on-time and relevant …
[PDF][PDF] Covid-19 detection using artificial intelligence
Background: X-rays imaging is one of the possible method for detecting COVID19. Our
research aimed to construct a model using deep learning for detecting COVID-19 …
research aimed to construct a model using deep learning for detecting COVID-19 …
Olive disease classification based on vision transformer and CNN models
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 …
increasingly important in artificial intelligence‐based research in the field of agriculture …