Simulation and Segmentation Techniques for Crop Maturity Identification of Pineapple Fruit-Reference-Cited by-同舟云学术

Simulation and Segmentation Techniques for Crop Maturity Identification of Pineapple Fruit

Published:2017 Issue: Volume: Page:3-11
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Ahmed Nawawi Muhammad Azmi,Ismail Fatimah Sham

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6463-0_1

Reference12 articles.

1. Asnor, J.I., Rosnah, S., Wan, Z.W.H., Badrul, H.A.B.: Pineapple maturity recognition using RGB extraction. Int. J. Electr. Comput. Energ. Electron. Commun. Eng. 7, 597–600 (2013)

2. Mohammad, S., Ghazali, K.H., Zan, N.C., Radzi, S.S.M., Karim, R.A.: Classification of fresh N36 pineapple crop using image processing technique. Adv. Mater. Res. 418–420, 1739–1743 (2011)

3. Zan, N.C., Ghazali, K.H., Mohammad, S., Radzi, S.S.M., Jusof, M.F.M.: ROI segmentation using minimum symmetrical edges distance: a study on josapine pineapple. In: International Conference on Artificial Intelligence in Computer Science and ICT (AICS 2013), pp. 1–6 (2013)

4. Kamaruddin, S., Sunardi, K., Ghazali, K.H., Hamid, R.: Canned pineapple grading using pixel colour extraction. In: International Conference on Artificial Intelligence in Computer Science and ICT (AICS 2013), pp. 217–226 (2013)

5. Prabha, D.S., Kumar, J.S.: Assessment of banana fruit maturity by image processing technique. J. Food Sci. Technol. 53, 1316–1327 (2015)

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