TY - JOUR
T1 - Farmers’ adoption of smart agricultural technologies for black soil conservation and utilization in China
T2 - the driving factors and its mechanism
AU - Yu, Jiaping
AU - Li, Jing
AU - Lo, Kevin
AU - Huang, Shanlin
AU - Li, Yiqi
AU - Zhao, Zixin
N1 - Funding Information:
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA28100405) and National Natural Science Foundation of China (Nos. 42471239, 42471240).
Publisher Copyright:
© 2025 Yu, Li, Lo, Huang, Li and Zhao.
PY - 2025/2/21
Y1 - 2025/2/21
N2 - Smart agriculture can mitigate the degradation of black soil organic matter to ensure global food security and promote sustainable agricultural development. However, the adoption of smart agricultural technology for black soil conservation and utilization is poorly understood. This study analyzes the influence mechanisms affecting farmers’ adoption intentions of one such technology, variable fertilization. We develop a structural equation model by combining the Technology Acceptance Model (TAM), Perceived Value Theory (PVT), and external factors with data from 354 farmers in Youyi State farm in the Sanjiang Plain Area, China. The results revealed that social influence (SI) was the most significant determinant of farmers’ adoption intentions (AI), emphasizing the critical role of social networks, particularly information from experienced demonstration households, in shaping decisions. Additionally, both the perceived usefulness (PU) and perceived ease of use (PEOU) of variable fertilization technology (VFT) significantly and positively influenced AI. Among these, PEOU demonstrated a greater overall impact than PU. We propose strategies for demand-driven, incentive-based, and technical support mechanisms to facilitate the adoption of VFT and conclude with recommendations to promote black soil conservation and utilization technologies among farmers.
AB - Smart agriculture can mitigate the degradation of black soil organic matter to ensure global food security and promote sustainable agricultural development. However, the adoption of smart agricultural technology for black soil conservation and utilization is poorly understood. This study analyzes the influence mechanisms affecting farmers’ adoption intentions of one such technology, variable fertilization. We develop a structural equation model by combining the Technology Acceptance Model (TAM), Perceived Value Theory (PVT), and external factors with data from 354 farmers in Youyi State farm in the Sanjiang Plain Area, China. The results revealed that social influence (SI) was the most significant determinant of farmers’ adoption intentions (AI), emphasizing the critical role of social networks, particularly information from experienced demonstration households, in shaping decisions. Additionally, both the perceived usefulness (PU) and perceived ease of use (PEOU) of variable fertilization technology (VFT) significantly and positively influenced AI. Among these, PEOU demonstrated a greater overall impact than PU. We propose strategies for demand-driven, incentive-based, and technical support mechanisms to facilitate the adoption of VFT and conclude with recommendations to promote black soil conservation and utilization technologies among farmers.
KW - black soil conservation and utilization
KW - smart agriculture
KW - variable fertilization
KW - farmers’ adoption
KW - technology acceptance model
UR - http://www.scopus.com/inward/record.url?scp=105000512748&partnerID=8YFLogxK
U2 - 10.3389/fsufs.2025.1561633
DO - 10.3389/fsufs.2025.1561633
M3 - Journal article
AN - SCOPUS:105000512748
SN - 2571-581X
VL - 9
JO - Frontiers in Sustainable Food Systems
JF - Frontiers in Sustainable Food Systems
M1 - 1561633
ER -