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 …

A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions

A Barua, MU Ahmed, S Begum - IEEE Access, 2023 - ieeexplore.ieee.org
Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare

S Maqsood, R Damaševičius - Neural networks, 2023 - Elsevier
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …

[HTML][HTML] End-to-end fusion of hyperspectral and chlorophyll fluorescence imaging to identify rice stresses

C Zhang, L Zhou, Q Xiao, X Bai, B Wu, N Wu… - Plant …, 2022 - spj.science.org
Herbicides and heavy metals are hazardous substances of environmental pollution,
resulting in plant stress and harming humans and animals. Identification of stress types can …

Rice transformer: A novel integrated management system for controlling rice diseases

RR Patil, S Kumar - IEEE Access, 2022 - ieeexplore.ieee.org
Rice disease classification is vital during the cultivation of rice crops. However, rice diseases
were initially detected by visual examination from agricultural experts. Later the detection …

Challenges and opportunities of implementing data fusion in process analytical technology—a review

T Casian, B Nagy, B Kovács, DL Galata, E Hirsch… - Molecules, 2022 - mdpi.com
The release of the FDA's guidance on Process Analytical Technology has motivated and
supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a …

Leaf recognition using convolutional neural networks based features

BM Quach, VC Dinh, N Pham, D Huynh… - Multimedia Tools and …, 2023 - Springer
There is a warning light for the loss of plant habitats worldwide that entails concerted efforts
to conserve plant biodiversity. Thus, plant species classification is crucial to address this …

Agriculture assistant for crop prediction and farming selection using machine learning model with real-time data using imaging through uav drone

M Jain, MS Bajwa, H Kumar - … Systems: Select Proceedings of ETBS 2021, 2022 - Springer
Agriculture, as an income source, plays an important role in the economy of a country like
India for its holistic growth. For better results, we need to improve the quality of products and …

Discriminating Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Review

N Li, Z Wang, FA Cheikh - Sensors, 2024 - mdpi.com
Hyperspectral images (HSIs) contain subtle spectral details and rich spatial contextures of
land cover that benefit from developments in spectral imaging and space technology. The …

Development of mobile learning application based on augmented reality with index card match method

WN Hidayat, MA Hakiki, MF Nashrullah… - 2020 4th …, 2020 - ieeexplore.ieee.org
Botany is one of the biology learning materials in junior high schools which is still widely
taught theoretically and monotonously, so boring. In this material students still have to …