Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
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 …
An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique
Tomato leaf infections are a common threat to long-term tomato production that affects many
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …
farmers worldwide. Early detection, treatment, and solution of tomato leaf specificity are …
Detection of maturity stages of coconuts in complex background using Faster R-CNN model
S Parvathi, ST Selvi - biosystems engineering, 2021 - Elsevier
Highlights•Database created by acquiring images from coconut farms in real-time.•Images
from test dataset and Google Images.•Tender and mature coconut bunches detected with …
from test dataset and Google Images.•Tender and mature coconut bunches detected with …
[HTML][HTML] Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation
In the last few years, the agricultural field has undergone a digital transformation,
incorporating artificial intelligence systems to make good employment of the growing volume …
incorporating artificial intelligence systems to make good employment of the growing volume …
Two-stage classification model for the prediction of heart disease using IoMT and artificial intelligence
Internet of Things (IoT) technology has recently been applied in healthcare systems as an
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …
A sugar beet leaf disease classification method based on image processing and deep learning
Leaf spot disease, which causes 10− 50% loss in sugar beet yield, causes great damage on
the leaves. This disease physiologically appears as individual circular spots on the sugar …
the leaves. This disease physiologically appears as individual circular spots on the sugar …
Capsule network-based disease classification for Vitis Vinifera leaves
AD Andrushia, TM Neebha, AT Patricia… - Neural Computing and …, 2024 - Springer
The primary source of food is extracted from the plant. Take care of and maintain the plants
in real-time to enhance human survival. Diseases in plants can directly lead to a reduction in …
in real-time to enhance human survival. Diseases in plants can directly lead to a reduction in …
Internal defects detection and classification in hollow cylindrical surfaces using single shot detection and MobileNet
Surface defect inspection, detection, and classification in hollow cylindrical surfaces such as
pipes and barrels have a significant impact on the structural integrity of various industrial …
pipes and barrels have a significant impact on the structural integrity of various industrial …
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 …