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Towards data-driven smart composting techniques and control systems

delete2025-10-14
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PRE
AI
B
Baoju Liu
K
Kui Zhang
Y
Yuquan Wei *
G
Guochun Ding *
T
Ting Xu
L
Longli Zhang
李继 (Ji Li) *
DOI:10.1016/j.biortech.2025.133514delete
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Abstract

Abstract

En 中文
• Smart composting benefits resource-efficient recycling, N retention & gas control. • Robust sensors and IoT enable reliable real-time monitoring. • Machine learning improves compost quality prediction and emission control. • Intelligent control strategies optimize aeration, turning, and stability. • Multi-scale deployment highlights challenges for industrial adoption.

Journal

Bioresource Technology cover
Bioresource Technology
IF:
9
Papers:
3.2W
Citations:
17.3W

Organization

C
china agricultural university
Scholars:
5.0W
Papers: 2.9W
Citations: 43
B
beijing voto biotech co., ltd
Scholars:
1
Papers: 1
Citations: 0