A CNN-SVM study based on selected deep features for grapevine leaves classification
The main product of grapevines is grapes that are consumed fresh or processed. In addition,
grapevine leaves are harvested once a year as a by-product. The species of grapevine …
grapevine leaves are harvested once a year as a by-product. The species of grapevine …
Detection and classification of tomato crop disease using convolutional neural network
G Sakkarvarthi, GW Sathianesan, VS Murugan… - Electronics, 2022 - mdpi.com
Deep learning is a cutting-edge image processing method that is still relatively new but
produces reliable results. Leaf disease detection and categorization employ a variety of …
produces reliable results. Leaf disease detection and categorization employ a variety of …
[HTML][HTML] Intelligent diagnosis of northern corn leaf blight with deep learning model
SQ Pan, JF Qiao, W Rui, HL Yu, W Cheng… - Journal of integrative …, 2022 - Elsevier
Abstract Maize (Zea mays L.), also known as corn, is the third most cultivated crop in the
world. Northern corn leaf blight (NCLB) is a globally devastating maize foliar disease caused …
world. Northern corn leaf blight (NCLB) is a globally devastating maize foliar disease caused …
A segmentation network for smart weed management in wheat fields
K Zou, Q Liao, F Zhang, X Che, C Zhang - Computers and Electronics in …, 2022 - Elsevier
Precision mechanical weed control is important for wheat cultivation. Accurate segmentation
of weeds and wheat in images is a critical step in precision weeding. A modified U-net for …
of weeds and wheat in images is a critical step in precision weeding. A modified U-net for …
Improving deep learning-based plant disease classification with attention mechanism
In recent years, deep learning-based plant disease classification has been widely
developed. However, it is challenging to collect sufficient annotated image data to effectively …
developed. However, it is challenging to collect sufficient annotated image data to effectively …
Symmetric binary tree based co-occurrence texture pattern mining for fine-grained plant leaf image retrieval
Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
Advancements in deep learning for accurate classification of grape leaves and diagnosis of grape diseases
I Kunduracioglu, I Pacal - Journal of Plant Diseases and Protection, 2024 - Springer
Plant diseases cause significant agricultural losses, demanding accurate detection methods.
Traditional approaches relying on expert knowledge may be biased, but advancements in …
Traditional approaches relying on expert knowledge may be biased, but advancements in …
Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification
Soybean cultivar recognition plays a vital role in cultivar evaluation, selection and
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
A cloud-based platform for soybean plant disease classification using archimedes optimization based hybrid deep learning model
Bean which is botanically called Phaseolus vulgaris L. belongs to the Fabaceae family.
Unnecessary economic losses arise during bean disease identification due to a delay in …
Unnecessary economic losses arise during bean disease identification due to a delay in …
Varietal discrimination of guava (Psidium guajava) leaves using multi features analysis
The purpose of this study was to examine the potential of Machine Vision (MV) approaches
for the classification and identification of 12 varieties of guava. There are leaf images of the …
for the classification and identification of 12 varieties of guava. There are leaf images of the …