Using Machine Learning to Assess the Effects of Biochar-Based Fertilizers on Crop Production and N<sub>2</sub>O Emissions in China

Using Machine Learning to Assess the Effects of Biochar-Based Fertilizers on Crop Production and N<sub>2</sub>O Emissions in China

The growing global population and increasing agricultural demands have made nitrogen fertilizers essential for modern agriculture. However, nearly 50% of applied nitrogen fertilizers are lost to the environment, causing pollution and greenhouse gas (GHG) emissions. Biochar-based fertilizers (BBFs),...

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Bibliographic Details
Main Authors: Yuan Zeng, Sujuan Chen, Yunpeng Li, Li Xiong, Cheng Liu, Muhammad Azeem, Xiaoting Jie, Mei Chen, Longjiang Zhang, Jianfei Sun
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agronomy
Subjects:
biochar-based fertilizers
N<sub>2</sub>O
crop yield
greenhouse gas reduction
machine learning models
Online Access:https://www.mdpi.com/2073-4395/15/5/1238
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