Grading and Detection Method of Asparagus Stem Blight Based on Hyperspectral Imaging of Asparagus Crowns
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- Jahirul, M.I. & Rasul, M.G. & Brown, R.J. & Senadeera, W. & Hosen, M.A. & Haque, R. & Saha, S.C. & Mahlia, T.M.I., 2021. "Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN)," Renewable Energy, Elsevier, vol. 168(C), pages 632-646.
- Habib Khan & Ijaz Ul Haq & Muhammad Munsif & Mustaqeem & Shafi Ullah Khan & Mi Young Lee, 2022. "Automated Wheat Diseases Classification Framework Using Advanced Machine Learning Technique," Agriculture, MDPI, vol. 12(8), pages 1-20, August.
- Odile Carisse & Mamadou Lamine Fall, 2021. "Decision Trees to Forecast Risks of Strawberry Powdery Mildew Caused by Podosphaera aphanis," Agriculture, MDPI, vol. 11(1), pages 1-16, January.
- Changguang Feng & Minlan Jiang & Qi Huang & Lingguo Zeng & Changjiang Zhang & Yulong Fan, 2022. "A Lightweight Real-Time Rice Blast Disease Segmentation Method Based on DFFANet," Agriculture, MDPI, vol. 12(10), pages 1-12, September.
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- Zimei Zhang & Jianwei Xiao & Wenjie Wang & Magdalena Zielinska & Shanyu Wang & Ziliang Liu & Zhian Zheng, 2024. "Automated Grading of Angelica sinensis Using Computer Vision and Machine Learning Techniques," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
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Keywords
asparagus stem blight; hyperspectral imaging; disease grading; PCA; BPNN; ELM;All these keywords.
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