Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy
Biochar has gained attention as an alternative source of solid energy and for the proper disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a promising approach for the production of biochar. This review article presents the beneficial use of biochar for soil fertili...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | ChemEngineering |
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| Online Access: | https://www.mdpi.com/2305-7084/7/3/50 |
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| author | Prathiba Rex Kalil Rahiman Mohammed Ismail Nagaraj Meenakshisundaram Praveen Barmavatu A V S L Sai Bharadwaj |
| author_facet | Prathiba Rex Kalil Rahiman Mohammed Ismail Nagaraj Meenakshisundaram Praveen Barmavatu A V S L Sai Bharadwaj |
| author_sort | Prathiba Rex |
| collection | DOAJ |
| description | Biochar has gained attention as an alternative source of solid energy and for the proper disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a promising approach for the production of biochar. This review article presents the beneficial use of biochar for soil fertilization, machine learning (ML), the circular bioeconomy, and the technology readiness level. The use of machine learning techniques helps to design, predict, and optimize the process. It can also improve the accuracy and efficacy of the biochar production process, thereby reducing costs. Furthermore, the use of biochar as a soil amendment can be an attractive option for farmers. The incorporation of biochar into soil has been shown to improve soil fertility, water retention, and crop productivity. This can lead to reduced dependence on synthetic fertilizers and increased agricultural yields. The development of a biochar economy has the potential to create new job opportunities and increase the national gross domestic product (GDP). Small-scale enterprises can play a significant role in the production and distribution of biochar, providing value-added products and helping to promote sustainable agriculture. |
| first_indexed | 2024-03-11T02:39:00Z |
| format | Article |
| id | doaj.art-974702a6462f436781aa35c9d0075071 |
| institution | Directory Open Access Journal |
| issn | 2305-7084 |
| language | English |
| last_indexed | 2024-03-11T02:39:00Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ChemEngineering |
| spelling | doaj.art-974702a6462f436781aa35c9d00750712023-11-18T09:45:05ZengMDPI AGChemEngineering2305-70842023-05-01735010.3390/chemengineering7030050Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular EconomyPrathiba Rex0Kalil Rahiman Mohammed Ismail1Nagaraj Meenakshisundaram2Praveen Barmavatu3A V S L Sai Bharadwaj4Department of Agricultural Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, IndiaDepartment of Agricultural Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, IndiaDepartment of Agricultural Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, IndiaDepartamento de Ingeniería Mecánica, Facultad de Ingeniería, Universidad Tecnológica Metropolitana, Santiago 8330383, ChileDepartment of Materials Science and Chemical Engineering, Hanyang University (ERICA), Ansan 15588, Republic of KoreaBiochar has gained attention as an alternative source of solid energy and for the proper disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a promising approach for the production of biochar. This review article presents the beneficial use of biochar for soil fertilization, machine learning (ML), the circular bioeconomy, and the technology readiness level. The use of machine learning techniques helps to design, predict, and optimize the process. It can also improve the accuracy and efficacy of the biochar production process, thereby reducing costs. Furthermore, the use of biochar as a soil amendment can be an attractive option for farmers. The incorporation of biochar into soil has been shown to improve soil fertility, water retention, and crop productivity. This can lead to reduced dependence on synthetic fertilizers and increased agricultural yields. The development of a biochar economy has the potential to create new job opportunities and increase the national gross domestic product (GDP). Small-scale enterprises can play a significant role in the production and distribution of biochar, providing value-added products and helping to promote sustainable agriculture.https://www.mdpi.com/2305-7084/7/3/50microwave pyrolysisagricultural biomass wastebiocharcircular bio-economymachine learningtechnology readiness level |
| spellingShingle | Prathiba Rex Kalil Rahiman Mohammed Ismail Nagaraj Meenakshisundaram Praveen Barmavatu A V S L Sai Bharadwaj Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy ChemEngineering microwave pyrolysis agricultural biomass waste biochar circular bio-economy machine learning technology readiness level |
| title | Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy |
| title_full | Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy |
| title_fullStr | Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy |
| title_full_unstemmed | Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy |
| title_short | Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy |
| title_sort | agricultural biomass waste to biochar a review on biochar applications using machine learning approach and circular economy |
| topic | microwave pyrolysis agricultural biomass waste biochar circular bio-economy machine learning technology readiness level |
| url | https://www.mdpi.com/2305-7084/7/3/50 |
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