Machine learning and computational chemistry to improve biochar fertilizers: a review
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s10311-023-01631-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/9383 |
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oai:localhost:PNK-93832023-09-29T08:59:02Z Machine learning and computational chemistry to improve biochar fertilizers: a review Osman, Ahmed I. Zhang, Yubing Lai, Zhi Ying biochar fertilizers CC-BY Traditional fertilizers are highly inefficient, with a major loss of nutrients and associated pollution. Alternatively, biochar loaded with phosphorous is a sustainable fertilizer that improves soil structure, stores carbon in soils, and provides plant nutrients in the long run, yet most biochars are not optimal because mechanisms ruling biochar properties are poorly known. This issue can be solved by recent developments in machine learning and computational chemistry. Here we review phosphorus-loaded biochar with emphasis on computational chemistry, machine learning, organic acids, drawbacks of classical fertilizers, biochar production, phosphorus loading, and mechanisms of phosphorous release. Modeling techniques allow for deciphering the influence of individual variables on biochar, employing various supervised learning models tailored to different biochar types. 2023-09-29T08:59:02Z 2023-09-29T08:59:02Z 2023 Book https://link.springer.com/article/10.1007/s10311-023-01631-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/9383 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
biochar fertilizers |
| spellingShingle |
biochar fertilizers Osman, Ahmed I. Zhang, Yubing Lai, Zhi Ying Machine learning and computational chemistry to improve biochar fertilizers: a review |
| description |
CC-BY |
| format |
Book |
| author |
Osman, Ahmed I. Zhang, Yubing Lai, Zhi Ying |
| author_facet |
Osman, Ahmed I. Zhang, Yubing Lai, Zhi Ying |
| author_sort |
Osman, Ahmed I. |
| title |
Machine learning and computational chemistry to improve biochar fertilizers: a review |
| title_short |
Machine learning and computational chemistry to improve biochar fertilizers: a review |
| title_full |
Machine learning and computational chemistry to improve biochar fertilizers: a review |
| title_fullStr |
Machine learning and computational chemistry to improve biochar fertilizers: a review |
| title_full_unstemmed |
Machine learning and computational chemistry to improve biochar fertilizers: a review |
| title_sort |
machine learning and computational chemistry to improve biochar fertilizers: a review |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s10311-023-01631-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/9383 |
| _version_ |
1779307176568815616 |
| score |
8.887836 |