Nur Aisyah Syafinaz, Suarin and Chia, Kim Seng and Siti Fatimah Zaharah, Mohd Fuzi (2018) A Portable in-situ near-infrared LEDs-based soil nitrogen sensor using artificial neural network. International Journal of Integrated Engineering, 10 (4). pp. 81-87. ISSN 2229-838X (Print); 2600-7916 (Online). (Published)
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Abstract
Monitoring soil Nitrogen content for palm oil cultivation is paramount to produce high-quality palm oil. This study aims to investigate the feasibility of a proposed portable near-infrared (NIR) light emitting diodes (LEDs)-based soil Nitrogen sensor in predicting the soil Nitrogen content using artificial neural network (ANN). First, soil samples that collected from a local oil palm plantation were scanned using the developed sensor and then followed by a conventional method, i.e. Kjeldahl analysis to measure the actual soil Nitrogen content. ANN was used for C hemometric analysis to develop a predictive model to in-situ predict the soil Nitrogen content using the near infrared light . The performance of ANN was validated using leave one out cross-validation. Results indicate that ANN with one hundred hidden neurons achieved the best accuracy with a root mean square error of cross-validation of 0.031%. This finding suggests that the proposed portable sensor coupled with ANN is promising to satisfactorily predict soil Nitrogen content.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Near-infrared; Sensor; LED; Artificial neural network; Nitrogen; Soil |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering Institute of Postgraduate Studies |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 13 Nov 2020 02:57 |
| Last Modified: | 13 Nov 2020 02:57 |
| URI: | http://umpir.ump.edu.my/id/eprint/29825 |
| Download Statistic: | View Download Statistics |
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