Author:
Hashim Izrahayu Che,Shariff Abdul Rashid Mohamed,Bejo Siti Khairunniza,Muharam Farrah Melissa,Ahmad Khairulmazmi
Publisher
Springer Nature Singapore
Reference87 articles.
1. Abdi, A. M. (2020). Land cover and land use classification performance of machine learning algorithms in a boreal landscape using sentinel-2 data. GIScience and Remote Sensing, 57(1), 1–20. https://doi.org/10.1080/15481603.2019.1650447
2. Abdullah, A. H., et al. (2012). Hand-held electronic nose sensor selection system for basal stamp rot (BSR) disease detection. In Proceedings - 3rd international conference on intelligent systems modelling and simulation, ISMS 2012 (pp. 737–742).
3. Ahmadi, P., et al. (2017). Early detection of Ganoderma basal stem rot of oil palms using artificial neural network spectral analysis. Plant Disease, 101(6), 1009–1016. http://apsjournals.apsnet.org/doi/10.1094/PDIS-12-16-1699-RE (September 14, 2018).
4. Ali, A., Shamsuddin, S. M., & Ralescu, A. L. (2013). Classification with class imbalance problem: A review. International Journal of Advances in Soft Computing and its Applications, 7(3), 176–204.
5. Ariffin, D., & Idris, A. S. (1993). A selective medium for the isolation of ganoderma from disease tissues. In PORIM international palm oil conference. progress, prospects challenges towards the 21st century. PORIM.
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