A review of visual descriptors and classification techniques used in leaf species identification
KK Thyagharajan, I Kiruba Raji - Archives of Computational Methods in …, 2019 - Springer
Plants are fundamentally important to life. Key research areas in plant science include plant
species identification, weed classification using hyper spectral images, monitoring plant …
species identification, weed classification using hyper spectral images, monitoring plant …
Medicinal Leaves Classification Using Random Forest and AdaBoost
TNS Yaswanth, KSV Lakshmi… - 2024 International …, 2024 - ieeexplore.ieee.org
The identification of medicinal plants is crucial for both biodiversity preservation and the
creation of potent medications. Machine learning techniques will be employed to effectively …
creation of potent medications. Machine learning techniques will be employed to effectively …
An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features
Multi-class imbalance shape-based leaf image features requires feature subset that
appropriately represent the leaf shape. Multi-class imbalance data is a type of data …
appropriately represent the leaf shape. Multi-class imbalance data is a type of data …
[PDF][PDF] Leaf Recognition and Classification Techniques-Survey
M Keskar, D Maktedar - ijiset.com
Plants are an indispensable part of our ecosystem and globally it has a long history of using
plants as a source of medicines. Since the advent of modern allopathic medicine, the use of …
plants as a source of medicines. Since the advent of modern allopathic medicine, the use of …
[PDF][PDF] Feature Selection and Ensemble Meta Classifier for Multiclass Imbalance Data Learning
The aim of this paper is to investigate the effects of combining feature selection and
ensemble classifiers on the prediction performance in addressing the multiclass imbalance …
ensemble classifiers on the prediction performance in addressing the multiclass imbalance …