Machine learning and computational chemistry to improve biochar fertilizers: a review

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Main Authors: Osman, Ahmed I., Zhang, Yubing, Lai, Zhi Ying
Format: Book
Language:English
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s10311-023-01631-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/9383
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spelling 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
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score 8.891053