[HTML][HTML] Machine learning in medicinal plants recognition: a review
K Pushpanathan, M Hanafi, S Mashohor… - Artificial Intelligence …, 2021 - Springer
Medicinal plants are gaining attention in the pharmaceutical industry due to having less
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …
Convolutional neural network based maize plant disease identification
Maize is the most versatile crop among cereals, regarding its adaptability, types, and uses.
Annually, approximately 1150 million metric tons of maize are produced globally. The …
Annually, approximately 1150 million metric tons of maize are produced globally. The …
Gastrointestinal tract disease segmentation and classification in wireless capsule endoscopy using intelligent deep learning model
This work provides a novel segmentation and classification of diseases from the GI tract
using WCE images. First, the input WCE images are collected from the KID Atlas data set …
using WCE images. First, the input WCE images are collected from the KID Atlas data set …
[HTML][HTML] A novel edge detection method for medicinal plant's leaf features extraction
Morphological features-based leaf identification algorithms provide highly accurate results.
But it is required a single-lined edge extraction algorithm for morphological feature …
But it is required a single-lined edge extraction algorithm for morphological feature …
Unique shape descriptor algorithm for medicinal plant identification (SDAMPI) with abridged image database
In image processing, leaf shape recognition requires a huge database of similar images.
Normal leaf image database construction requires more time and space. On the other hand …
Normal leaf image database construction requires more time and space. On the other hand …
[HTML][HTML] Deep-Morpho Algorithm (DMA) for medicinal leaves features extraction
Presently, for the identification and classification of images, various deep learning
techniques are being used. In these techniques, the whole image is considered to produce …
techniques are being used. In these techniques, the whole image is considered to produce …
Deep learning model for plant species classification using leaf vein features
BR Pushpa, P Lakshmi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Leaf veins are one of the most important and complicated aspects of a leaf that are
commonly used for plant species categorization and identification. Each plant species …
commonly used for plant species categorization and identification. Each plant species …
Importance of image morphological features in continues learning
JG Thanikkal, AK Dubey… - 2022 International Mobile …, 2022 - ieeexplore.ieee.org
A deep neural network is a fantastic and effective method for image processing. However,
the pixel values are based on continuous learning leading to forgetting the previous …
the pixel values are based on continuous learning leading to forgetting the previous …
Deep learning based aquatic and semi aquatic plants morphological features extraction and classification
JG Thanikkal, AK Dubey - International Journal of Performability …, 2022 - ijpe-online.com
In Ayurveda, the ancient medicinal plant identification system is based on the morphological
comparison of leaf, fruit, flower, root, stem etc. Botanists use morphometrics for aquatic and …
comparison of leaf, fruit, flower, root, stem etc. Botanists use morphometrics for aquatic and …
Robust plant identification based on the combination of multiple images and taxonomic information
Plant identification poses a challenge for end-users, including novice botanists, due to the
high similarity between species, particularly those within the same genus and family, as well …
high similarity between species, particularly those within the same genus and family, as well …