Recent Trends in IOT-Enabled Composter for Organic Wastes
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5543-2_36
Reference23 articles.
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3. Kumar, S., Negi, S., Mandpe, A., Singh, R.V., Hussain, A.: Rapid composting techniques in Indian context and utilization of black soldier fly for enhanced decomposition of biodegradable wastes—a comprehensive review. J. Environ. Manage. 227, 189–199 (2018). https://doi.org/10.1016/j.jenvman.2018.08.096
4. Chronicle, L., Report, T.: Res. Hyperspectral Prediction Mode. Soil Organic Matter Based Full Spectrum Data Min. Technol. 32, 1–3 (2020)
5. Qiu, J., Wang, H.: Improved design of household kitchen waste composting machine based on human factors engineering. Springer International Publishing (2020). https://doi.org/10.1007/978-3-030-51549-2_27
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1. Performance Evaluation of an IoT-Enabled Rapid Composter for Mixed Organic Wastes;Intelligent Technologies for Scientific Research and Engineering;2023-07-06
2. IoT-Based Agricultural Compost Monitoring System: Prototype Development and Sensor Technology Evaluation;Compost Science & Utilization;2022-10-02
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