An Electronic Tool to Differentiate Between Potatoes According to Fertilization Methods
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51796-9_17
Reference23 articles.
1. Albastaki Y, Albalooshi F (2018) Electronic nose technologies and advances in machine olfaction. Electron Nose Technol Adv Mach Olfaction 1–318. https://doi.org/10.4018/978-1-5225-3862-2
2. Amkor A, El Barbri N (2022) Identification of potatoes harvested from the treated field with NPK fertilizers with an electronic system. In: Bendaoud M, Wolfgang B, Chikh K (eds) International Conference on electrical systems and automation ICESA 2021. Springer, Singapore, pp 31–41. https://doi.org/10.1007/978-981-19-0039-6_3
3. Amkor A, El Barbri N (2022) Detection of deltamethrin remains in mint with an electronic device coupled to chemometric methods. E3S Web Conf 351:01023. https://doi.org/10.1051/E3SCONF/202235101023
4. Amkor A, El Barbri N (2022) Electronic nose based on gas sensors and a machine-learning algorithm to discriminate potatoes according to the cultivated field nature. In: 2022 8th international conference on optimization and applications. https://doi.org/10.1109/ICOA55659.2022.9934128
5. Amkor A, El Barbri N (2023) Classification of potatoes according to their cultivated field by SVM and KNN approaches using an electronic nose. Bull Electr Eng Inf 12:1471–1477. https://doi.org/10.11591/eei.v12i3.5116
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