Sehgal, P., & Goel, N. (2017). Non-destructive low-cost approach for fuzzy classification of tomato images based on firmness prediction using regression. Journal of intelligent & fuzzy systems, 32(5), 3641-3653. https://doi.org/10.3233/JIFS-169299
Chicago Style (17th ed.) CitationSehgal, Priti, and Nidhi Goel. "Non-destructive Low-cost Approach for Fuzzy Classification of Tomato Images Based on Firmness Prediction Using Regression." Journal of Intelligent & Fuzzy Systems 32, no. 5 (2017): 3641-3653. https://doi.org/10.3233/JIFS-169299.
MLA (9th ed.) CitationSehgal, Priti, and Nidhi Goel. "Non-destructive Low-cost Approach for Fuzzy Classification of Tomato Images Based on Firmness Prediction Using Regression." Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, 2017, pp. 3641-3653, https://doi.org/10.3233/JIFS-169299.