Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data DOI Creative Commons

Weihao Yang,

Ruohan Zhen,

Fanxiang Meng

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 3039 - 3039

Published: Dec. 19, 2024

The accurate prediction of the spatial variability for soil water content (SWC) in farmland is essential resource management and sustainable agricultural development. However, natural factors introduce uncertainty result poor alignment when predicting SWC, leading to low accuracy. To address this, this study introduced a novel indicator: landscape indices. These indices include largest patch index (LPI), edge density (ED), aggregation (AI), cohesion (COH), contagion (CON), division (DIV), percentage like adjacencies (PLA), Shannon evenness (SHEI), diversity (SHDI). A Bayesian optimization–deep forest (BO–DF) model was developed leverage these SWC. Statistical analysis revealed that exhibited skewed distributions weak linear correlations with SWC (r < 0.2). Despite incorporating variables into BO–DF significantly improved accuracy, R2 increasing by 35.85%. This demonstrated robust nonlinear fitting capability Spatial mapping using indicated high-value areas were predominantly located eastern southern regions Yellow River Delta China. Furthermore, SHapley additive explanation (SHAP) highlighted key drivers findings underscore potential as valuable prediction, supporting regional strategies

Language: Английский

Biochar-Induced Microbial Shifts: Advancing Soil Sustainability DOI Open Access
Meesha Sharma, Rishabh Kaushik, Maharaj K. Pandit

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1748 - 1748

Published: Feb. 19, 2025

Biochar utilisation as a soil enhancer has gathered considerable interest owing to its notable capacity boost productivity, enhance carbon sequestration, and improve agricultural sustainability. Nonetheless, how biochar affects the microbiome, key health ecological functioning, remains contested subject. Given critical role microbial communities play in maintaining variations microbiota may have substantial impact on fertility stability. Despite wealth of studies effects communities, results demonstrate that reaction microbiome varies greatly depending edaphic properties other factors such experimental conditions practices. Notably, different components respond soil/biochar unique way, which makes generalising impacts difficult task. In this review, we comprehensively examine governing especially terms repercussions diversity, community structure, functional dynamics, potential ramifications for productivity environmental

Language: Английский

Citations

3
Modified biochar-immobilized Bacillus spp. for the release of nutrients and its response to soil microbial community activity and structure DOI Creative Commons
Jie Cheng,

Qiwu Sun,

Lei Liu

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 225, P. 120466 - 120466

Published: Jan. 18, 2025

Language: Английский

Citations

2
Biochar modified water-retaining agent polyacrylamide reduced NO but not N2O emissions from Camellia oleifera plantation soil DOI Creative Commons
Shuli Wang,

Yadi Yu,

Xi Zhang

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 227, P. 120838 - 120838

Published: March 19, 2025

Language: Английский

Citations

0
The beneficial effects of biochar on overall soil quality and plant performance are dose-dependent and are closely associated with soil pH DOI
Jiafan Li,

Mengyuan Song,

Junhui Yin

et al.

Pedosphere, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0
Characterization of the sewage sludge derived biochar and evaluation of its effect on growth of Indian mustard [Brassica juncea (L.) Czerny. & Coss.] DOI

Rajpal Choudhary,

Aman Verma, Abhishek Sharma

et al.

Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: unknown, P. 107164 - 107164

Published: May 1, 2025

Language: Английский

Citations

0
Comparative assessment of biochar produced from various wastes for improvement in soil quality and growth of Solanum lycopersicum L. DOI
Mohd. Ahsan,

A.S.M. Siddqui,

Versha Pandey

et al.

Environmental Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: June 3, 2025

Language: Английский

Citations

0
Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data DOI Creative Commons

Weihao Yang,

Ruohan Zhen,

Fanxiang Meng

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 3039 - 3039

Published: Dec. 19, 2024

The accurate prediction of the spatial variability for soil water content (SWC) in farmland is essential resource management and sustainable agricultural development. However, natural factors introduce uncertainty result poor alignment when predicting SWC, leading to low accuracy. To address this, this study introduced a novel indicator: landscape indices. These indices include largest patch index (LPI), edge density (ED), aggregation (AI), cohesion (COH), contagion (CON), division (DIV), percentage like adjacencies (PLA), Shannon evenness (SHEI), diversity (SHDI). A Bayesian optimization–deep forest (BO–DF) model was developed leverage these SWC. Statistical analysis revealed that exhibited skewed distributions weak linear correlations with SWC (r < 0.2). Despite incorporating variables into BO–DF significantly improved accuracy, R2 increasing by 35.85%. This demonstrated robust nonlinear fitting capability Spatial mapping using indicated high-value areas were predominantly located eastern southern regions Yellow River Delta China. Furthermore, SHapley additive explanation (SHAP) highlighted key drivers findings underscore potential as valuable prediction, supporting regional strategies

Language: Английский

Citations

0