Application of meta-heuristic feature selection method in low-cost portable device for watermelon classification using signal processing techniques

Author:

Alipasandi Amir,Mahmoudi Asghar,Sturm Barbara,Behfar Hossein,Zohrabi Saman

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference57 articles.

1. MATLAB and Statistics Toolbox Release 2015b, n.d. The MathWorks, Inc, Natick, Massachusetts, United States.

2. Abbaszadeh, R., Rajabipour, A., Labbafi, R., Ahmadi, H., 2012. Prediction of watermelon customer-friendly based on sensory evaluation data using expert fuzzy model. In: Proceedings of the 7th National Congress of Agricultural Engineering (Biosystems Mechanics) and Mechanization. pp. 4–6.

3. Application of vibration response for the nondestructive ripeness evaluation of watermelons;Abbaszadeh;Aust. J. Crop. Sci.,2011

4. Abdel-Basset, M., Abdel-Fatah, L., Sangaiah, A.K., 2018. Chapter 10 - Metaheuristic Algorithms: A Comprehensive Review. In: Sangaiah, A.K., Sheng, M., Zhang, Z.B.T.-C.I. for M.B.D. on the C. with E.A. (Eds.), Intelligent Data-Centric Systems. Academic Press, pp. 185–231. https://doi.org/https://doi.org/10.1016/B978-0-12-813314-9.00010-4.

5. Abdullah, M.M., Abdullah, N.E., Hashim, H., George, C., Igol, F.A., 2012. Various grades of red flesh watermelon ripeness based on NIR and VIS reflectance measurement. In: 2012 IEEE Student Conference on Research and Development (SCOReD). IEEE, pp. 250–255.

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