TY  - JOUR
AU  - Wang, Yiyi
AU  - Wang, Xiaoqing
PY  - 2025
DA  - 2025/08/27
TI  - The Tsing-Agri Farm Paradigm: Integrating Controlled Environment Agriculture with Industrial Systems for a Low-Carbon Future
JO  - Digital Intelligence in Agriculture
T2  - Digital Intelligence in Agriculture
JF  - Digital Intelligence in Agriculture
VL  - 1
IS  - 1
SP  - 6
EP  - 13
DO  - 10.62762/DIA.2025.899209
UR  - https://www.icck.org/article/abs/DIA.2025.899209
KW  - extreme weather
KW  - food security
KW  - industrial-agricultural integration
KW  - controlled-environment agriculture
KW  - agricultural carbon sequestration
AB  - Agriculture is both a major contributor to and a victim of climate change, accounting for approximately 22–25% of global greenhouse gas (GHG) emissions and facing heightened risks from extreme weather events. International climate frameworks, including the Paris Agreement, emphasize the urgent need for transformative changes in food systems to achieve net-zero emissions by mid-century. In this context, China has pledged to peak carbon emissions by 2030 and reach carbon neutrality by 2060, with agriculture playing a central role. This paper presents the Tsing-Agri Farm, an advanced controlled environment agriculture (CEA) system developed by Beijing TsingSky Technology Co., Ltd., affiliated with Tsinghua University. Each facility, covering 60,000 m^2, is engineered to operate under extreme climate conditions and meet the annual tomato consumption of 100,000 people. Distinctively, the system integrates with adjacent industrial infrastructure to recover waste heat and CO2, thereby reducing operational costs while enhancing carbon sequestration. The carbon mitigation effect of every 100 acres of such farms is comparable to that of 16,000 acres of photovoltaic installations, highlighting its significant climate benefits. By examining the technical design, carbon reduction potential, and operational resilience of the Tsing-Agri Farm, this study contributes to the discourse on climate-smart agriculture and demonstrates a scalable model for sustainable, low-carbon food production under future climate uncertainties.
SN  - 3069-3187
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Wang2025The,
  author = {Yiyi Wang and Xiaoqing Wang},
  title = {The Tsing-Agri Farm Paradigm: Integrating Controlled Environment Agriculture with Industrial Systems for a Low-Carbon Future},
  journal = {Digital Intelligence in Agriculture},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {6-13},
  doi = {10.62762/DIA.2025.899209},
  url = {https://www.icck.org/article/abs/DIA.2025.899209},
  abstract = {Agriculture is both a major contributor to and a victim of climate change, accounting for approximately 22–25\% of global greenhouse gas (GHG) emissions and facing heightened risks from extreme weather events. International climate frameworks, including the Paris Agreement, emphasize the urgent need for transformative changes in food systems to achieve net-zero emissions by mid-century. In this context, China has pledged to peak carbon emissions by 2030 and reach carbon neutrality by 2060, with agriculture playing a central role. This paper presents the Tsing-Agri Farm, an advanced controlled environment agriculture (CEA) system developed by Beijing TsingSky Technology Co., Ltd., affiliated with Tsinghua University. Each facility, covering 60,000 m^2, is engineered to operate under extreme climate conditions and meet the annual tomato consumption of 100,000 people. Distinctively, the system integrates with adjacent industrial infrastructure to recover waste heat and CO2, thereby reducing operational costs while enhancing carbon sequestration. The carbon mitigation effect of every 100 acres of such farms is comparable to that of 16,000 acres of photovoltaic installations, highlighting its significant climate benefits. By examining the technical design, carbon reduction potential, and operational resilience of the Tsing-Agri Farm, this study contributes to the discourse on climate-smart agriculture and demonstrates a scalable model for sustainable, low-carbon food production under future climate uncertainties.},
  keywords = {extreme weather, food security, industrial-agricultural integration, controlled-environment agriculture, agricultural carbon sequestration},
  issn = {3069-3187},
  publisher = {Institute of Central Computation and Knowledge}
}