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The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach
27/27 checkable references clean · checked 2026-07-26
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 27 checked references that resolve
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Plants used as remedies antirheumatic and antineuralgic in the traditional medicine of Lebanon
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The future is written: Impact of scripts on the cognition, selection, knowledge and transmission of medicinal plant use and its implications for ethnobotany and ethnopharmacology
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Ethnobotanical study on medicinal plants used by Mulam people in Guangxi, China
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The relevance of pharmacognosy in pharmacological research on herbal medicinal products
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The Influence of Packaging and Brand Equity on Over-The-Counter Herbal Medicines in Kumasi, Ghana
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Classification and Quality Evaluation of Tobacco Leaves Based on Image Processing and Fuzzy Comprehensive Evaluation
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Classification of Romanian medicinal plant extracts according to the therapeutic effects using thin layer chromatography and robust chemometrics
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A novel computer vision based neutrosophic approach for leaf disease identification and classification
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Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine
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Machine vision approach for classification of citrus leaves using fused features
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Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images
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Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods
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Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image
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An Efficient Gray-Level Co-Occurrence Matrix (GLCM) based Approach Towards Classification of Skin Lesion
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Statistical features analysis and discrimination of maize seeds utilizing machine vision approach
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The Cluster Analysis and Feature Selection: Perspective of Machine Learning and Image Processing
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Machine Learning Based Statistical Analysis of Emotion Recognition using Facial Expression
The 8 references without a DOI — listed, not checked
no DOI — not checkedAmenu, E. (2007). Use and Management of Medicinal Plants by Indigenous People of Ejaji Area (Chelya Woreda) West Shoa, Ethiopia: An Ethnobotanical Approach. [Master’s Thesis, University in Addis].
no DOI — not checkedChowdhury. A survey of medicinal plants used by Garo and non-Garo traditional medicinal practitioners in two villages of Tangail district, Bangladesh
no DOI — not checkedIdentification of ayurvedic medicinal plants by image processing of leaf samples
no DOI — not checkedMedicinal plant leaf recognition and show medicinal uses using convolutional neural network
no DOI — not checkedWallelign, S., Polceanu, M., and Buche, C. (2018, January 10). Soybean plant disease identification using convolutional neural network. Proceedings of the Thirty-First International Flairs Conference, Melbourne, FL, USA.
no DOI — not checked(2020, October 01). The Islamia University of Bahawalpur, Pakistan. Available online: https://www.iub.edu.pk/faculty-of-agriculture-and-environmental-sciences?1=1forAgriculturalfarms.
no DOI — not checkedBradski, G., and Kaehler, A. (2008). Learning OpenCV: Computer Vision with the OpenCV Library, O’Reilly Media, Inc.
no DOI — not checkedClassification algorithms with attribute selection: An evaluation study using weka
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