A Leaf Disease Detection Mechanism Based on L1-Norm Minimization Extreme Learning Machine

The disease-free growth of a plant is highly influential for both environment and human life, as numerous microorganisms/viruses/fungus may affect the growth and agricultural production of a plant. Early detection and treatment thus becomes necessary and must be treated on time. The existing vision...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Dwivedi, Rudresh, Dutta, Tanima, Hu, Yu-Chen
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural production Algorithms Artificial neural networks Biological system modeling Classification Disease detection Disease recognition Diseases Experimentation extreme learning machine (ELM) Extreme learning machines Feature extraction Fungi Image classification Image color analysis Image processing Image segmentation leaf disease Learning algorithms Machine learning Microorganisms Minimization Optimization Plant diseases precision agriculture Training Viruses
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