Enhancing Energy Efficiency of Greenhouses using AI-based Climate Control
February 28, 2023 | Advances in Applied Energy |
Introduction: Researchers from Cornell University in USA proposed the use of novel artificial intelligence (AI)-based control framework to enhance the energy efficiency of greenhouses while accurately regulating their indoor climate. The AI-based strategy learns from historical greenhouse climate data and adapts to current weather conditions and crop growth.
Key findings: In comparison to traditional control methods, the AI-based framework demonstrated remarkable performance. In a case study focused on controlling the greenhouse climate for tomato crops, the proposed strategy led to a substantial 57% reduction in energy consumption compared to conventional methods.
Read more: Energy-efficient AI-based Control of Semi-closed Greenhouses Leveraging Robust Optimization in Deep Reinforcement Learning
Fig. | Greenhouse simulation depicting the external disturbances, control actuators, and greenhouse states along with its components.
Viewed Articles
February 28, 2023 | Advances in Applied Energy |Â Â Introduction: Researchers from Cornell University in USA proposed the use of novel artificial intelligence (AI)-based control framework to enhance the
Read More
March, 2025 | Smart Agricultural Technology |Â Introduction: In Bangladesh and many other smallholder farming economies, dependence on diesel pumps and unreliable grid electricity constrains the adopti
December 19, 2024 | Sensors |Â Introduction: Automated greenhouse systems typically depend on fixed set-point controls that require skilled technicians for configuration and maintenance, limiting scala
March, 2025 | Smart Agricultural Technology |Â Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
March 13, 2022 | Journal of the Science of Food and Agriculture | Source | Â Introduction: Food loss and waste are major environmental concerns, contributing to 29% of global GHG emissions, with especi
March, 2024 | Frontiers in Plant Science | Â Introduction: Developing climate-smart agriculture requires cost-effective methods to characterize crop growing conditions. A research team from the America
