COMPARATIVE ANALYSIS OF SVM, ANN AND CNN FOR CLASSIFYING VEGETATION SPECIES USING HYPERSPECTRAL THERMAL INFRARED DATA

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4. A customized convolutional neural network-based approach for weeds identification in cotton crops H. Faisal et al. 10.3389/fpls.2024.1435301
5. The Effect of Number of Factors and Data on Monthly Weather Classification Performance Using Artificial Neural Networks S. Shofura et al. 10.21108/ijoict.v7i2.602
6. Machine Learning in the Analysis of Multispectral Reads in Maize Canopies Responding to Increased Temperatures and Water Deficit J. Spišić et al. 10.3390/rs14112596
7. Deep features extraction to assess mobile user interfaces M. Soui et al. 10.1007/s11042-022-11978-1
8. Food Recognition and Food Waste Estimation Using Convolutional Neural Network J. Lubura et al. 10.3390/electronics11223746
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11. Varietal Discrimination of Guava (Psidium Guajava) Leaves Using Multi Features Analysis M. Asim et al. 10.1080/10942912.2022.2158863
12. Convolutional Neural Network-Based Rapid Post-Earthquake Structural Damage Detection: Case Study E. Moscoso Alcantara & T. Saito 10.3390/s22176426
13. Identification of Plant Leaf Disease by CNN Learning Techniques . Sri Dharshini S et al. 10.48175/IJARSCT-4566
14. Hyperspectral target detection using self-supervised background learning M. Ali et al. 10.1016/j.asr.2024.04.017
15. Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review C. Matyukira & P. Mhangara 10.1080/22797254.2024.2422330
16. Flooding Prognostic in Packed Columns Based on Electrical Capacitance Tomography and Convolution Neural Network Y. Chen et al. 10.1109/TIM.2022.3184363
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18. Road extraction through Yangwang-1 nighttime light data: A case study in Wenzhou, China A. Zhu et al. 10.1371/journal.pone.0297152
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20. Raman spectroscopy and FTIR spectroscopy fusion technology combined with deep learning: A novel cancer prediction method H. Leng et al. 10.1016/j.saa.2022.121839
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