Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts

Siamak Hoseinzadeh, Davide Astiaso Garcia · 2024 · Energy Conversion and Management X

Summary. AI integration in greenhouse agriculture significantly reduces heating energy consumption, improving energy efficiency. However, AI shows only marginal improvements in CO2 emissions, electricity, and water usage compared to traditional methods. Crop quality and profitability gains match conventional techniques. The study reveals AI's mixed impact on sustainability, highlighting strong potential in energy efficiency but limited effectiveness in other key sustainability areas, requiring further research and investment.

Read the original

@article{hoseinzadeh-2024-ai-driven-innovations-greenhouse-agriculture,
  title   = {Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts},
  author  = {Siamak Hoseinzadeh and Davide Astiaso Garcia},
  journal = {Energy Conversion and Management X},
  year    = {2024},
  doi     = {10.1016/j.ecmx.2024.100701},
  url     = {https://doi.org/10.1016/j.ecmx.2024.100701}
}

TY  - JOUR
TI  - Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts
AU  - Siamak Hoseinzadeh
AU  - Davide Astiaso Garcia
JO  - Energy Conversion and Management X
PY  - 2024
DO  - 10.1016/j.ecmx.2024.100701
UR  - https://doi.org/10.1016/j.ecmx.2024.100701
ER  - 

Details

DOI

10.1016/j.ecmx.2024.100701

Countries

Italy

Regions

Europe

Categories

agtech, energy, climate-and-environment

Added

2026-04-28