Comparative Analysis of Image Processing Object Detection Models: SSD MobileNet and YOLO for Guava Application
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1868-9_45
Reference11 articles.
1. Vitti KA, Lima LM, Filho JGM (2020) Agricultural and economic characterization of guava production in Brazil. Revista Brasileira de Fruticultura
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3. Njoroge JB, Ninomiya K, Kondo N, Toita H (2002) Automated fruit grading system using image processing. In: The society of instrument and control engineers, Japan, 1346–1351
4. Modi H, Patel M, Patel H (2019) Implementation of algorithm to detect the diseases in fruit using image processing technique. Int J Appl Eng Res 14(9):2093–2106
5. Jhuria M, Kumar A, Borse R (2013) Image processing for smart farming: detection of disease and fruit grading. In: Proceedings of the 2013 IEEE second international conference on image information processing
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