Non-invasive Grading System for Banana Tiers using RGB Imaging and Deep Learning
Author:
Affiliation:
1. National Sun Yat-sen University, Kaohsiung, Taiwan and University of the Philippines Mindanao, Davao City, Philippines, Philippines
2. National Sun Yat-sen University, Kaohsiung, Taiwan and Kaohsiung Medical University, Kaohsiung, Taiwan, Taiwan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3467707.3467723
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3. Tuan-Tang Le Chyi-Yeu Lin and Eduardo Jr Piedad.2019. Deep learning for noninvasive classification of clustered horticultural crops – A case for banana fruit tiers. Postharvest Biology and Technology. 156. 110922. https://doi.org/10.1016/j.postharvbio.2019.05.023 Tuan-Tang Le Chyi-Yeu Lin and Eduardo Jr Piedad.2019. Deep learning for noninvasive classification of clustered horticultural crops – A case for banana fruit tiers. Postharvest Biology and Technology. 156. 110922. https://doi.org/10.1016/j.postharvbio.2019.05.023
4. Mango ripeness classification system using hybrid technique;Mavi Muhamad Farid;Indonesian Journal of Electrical Engineering and Computer Science,2019
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