Crop irrigation with treated wastewater in sustainable agriculture: Investigating farmer behavior

Crop irrigation with treated wastewater is recognized as a strategy to address water scarcity and promote sustainable practices in agriculture. Farmers, as fundamental components of agricultural systems, play a crucial role in the success of water resource management through their attitudes and behaviors. This study aimed to investigate farmers' adoption of crop irrigation with treated wastewater. We developed a theoretical model integrating subjective cognition with external influences to explore the factors affecting this willingness. Our findings revealed that farmers' green perceived usefulness, environmental policy, and subjective norm positively influenced their willingness to adopt this irrigation method. Production and environmental risks significantly deterred acceptance. The subjective norm was the most crucial factor in shaping farmers' decisions. Additionally, our multi-group analysis indicated significant variations in willingness based on age, education level, and household agricultural income, highlighting the need for targeted approaches in policy and extension services to address these differences effectively. • This study focuses on farmers' acceptance of treated wastewater for irrigation. • An acceptance model is proposed based on subjective cognition and external influences. • Subjective norms are identified as the dominant factor in the acceptance of treated wastewater irrigation. • The explanatory power of the acceptance model is 84.2 %, verified by 586 farmers.

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2026-02-19
DOI
https://doi.org/10.1016/j.agwat.2026.110230
Primary Topic
Wastewater Treatment and Reuse
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crop irrigation with treated wastewater in sustainable agriculture: Investigating farmer behavior

Qiang Fu, Mo Li, Yuxuan Wang, Jifeng Pan et al.
Agricultural Water Management
Wastewater Treatment and Reuse
article

Crop irrigation with treated wastewater in sustainable agriculture: Investigating farmer behavior

Qiang Fu, Mo Li, Yuxuan Wang, Jifeng Pan, George Q. Huang, Naihui Wang
article en

Abstract

Crop irrigation with treated wastewater is recognized as a strategy to address water scarcity and promote sustainable practices in agriculture. Farmers, as fundamental components of agricultural systems, play a crucial role in the success of water resource management through their attitudes and behaviors. This study aimed to investigate farmers' adoption of crop irrigation with treated wastewater. We developed a theoretical model integrating subjective cognition with external influences to explore the factors affecting this willingness. Our findings revealed that farmers' green perceived usefulness, environmental policy, and subjective norm positively influenced their willingness to adopt this irrigation method. Production and environmental risks significantly deterred acceptance. The subjective norm was the most crucial factor in shaping farmers' decisions. Additionally, our multi-group analysis indicated significant variations in willingness based on age, education level, and household agricultural income, highlighting the need for targeted approaches in policy and extension services to address these differences effectively. • This study focuses on farmers' acceptance of treated wastewater for irrigation. • An acceptance model is proposed based on subjective cognition and external influences. • Subjective norms are identified as the dominant factor in the acceptance of treated wastewater irrigation. • The explanatory power of the acceptance model is 84.2 %, verified by 586 farmers.

Agricultural Water ManagementVol. 326
Hong Kong Polytechnic University (HK), Northeast Agricultural University (CN), Ministry of Education (BD)
Zero hunger
Openalex Percentile: Top 48%
Wastewater Treatment and Reuse
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.