Convolutional neural networks in detection of plant leaf diseases: A review
Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …
recognize objects from images. DL approaches have recently entered various agricultural …
A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
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 …
Detection of apple plant diseases using leaf images through convolutional neural network
Plant diseases are a severe cause of crop losses in the agriculture globally. Detection of
diseases in plants is difficult and challenging due to the lack of expert knowledge. Deep …
diseases in plants is difficult and challenging due to the lack of expert knowledge. Deep …
Monitoring tomato leaf disease through convolutional neural networks
Agriculture plays an essential role in Mexico's economy. The agricultural sector has a 2.5%
share of Mexico's gross domestic product. Specifically, tomatoes have become the country's …
share of Mexico's gross domestic product. Specifically, tomatoes have become the country's …
A systematic review of deep learning techniques for plant diseases
Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …
humanity. Plant diseases increase food economic and food security concerns for countries …
Trends and challenges in AIoT/IIoT/IoT implementation
For the next coming years, metaverse, digital twin and autonomous vehicle applications are
the leading technologies for many complex applications hitherto inaccessible such as health …
the leading technologies for many complex applications hitherto inaccessible such as health …
Aggregating different scales of attention on feature variants for tomato leaf disease diagnosis from image data: a transformer driven study
Tomato leaf diseases can incur significant financial damage by having adverse impacts on
crops and, consequently, they are a major concern for tomato growers all over the world …
crops and, consequently, they are a major concern for tomato growers all over the world …
[PDF][PDF] Drone-assisted plant disease identification using artificial intelligence: A critical review
Artificial intelligence has been incorporated into modern agriculture to increase agricultural
output and resource efficiency. Utilizing deep learning, particularly convolutional neural …
output and resource efficiency. Utilizing deep learning, particularly convolutional neural …
[HTML][HTML] Performance analysis of deep learning architectures for plant leaves disease detection
Plant disease is a major concern in agriculture field. Different pathogens are causes of plant
disease. Manual inspection sometimes can cause errors in the disease detection over large …
disease. Manual inspection sometimes can cause errors in the disease detection over large …