20240016102. GREENHOUSE SMART LIGHT CONTROL simplified abstract (Culception Ltd.)
Contents
GREENHOUSE SMART LIGHT CONTROL
Organization Name
Inventor(s)
Roy Elyakim of Ganei Tikva (IL)
Kfir Cohen of Givat Shmuel (IL)
Vladyslav Landa of Petach Tikva (IL)
Yaakov Gozlan of Alfei-Menashe (IL)
GREENHOUSE SMART LIGHT CONTROL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240016102 titled 'GREENHOUSE SMART LIGHT CONTROL
Simplified Explanation
The disclosed patent application describes systems and methods for controlling illumination in a greenhouse. Here is a simplified explanation of the abstract:
- The system obtains a geometric model of a greenhouse that is divided into multiple grow sections, each associated with a dimmable lamp. - A shade model is computed based on the geometric model, which defines a shading pattern for each grow section indicating the level of direct sunlight. - The shade model is enhanced using machine learning models trained to predict the level of direct sunlight in each grow section. - The dimmable lamps are operated based on the enhanced shade model to illuminate each grow section according to specific illumination rules.
Potential applications of this technology:
- Efficiently controlling illumination in greenhouses to optimize plant growth and yield. - Creating customized lighting conditions for different types of plants in a greenhouse. - Automating the lighting process in greenhouses to reduce manual labor and improve productivity.
Problems solved by this technology:
- Ensuring that plants receive the appropriate amount of light for optimal growth. - Minimizing the risk of overexposure or underexposure to sunlight in different areas of the greenhouse. - Providing a flexible and adaptable lighting system that can be adjusted based on changing environmental conditions.
Benefits of this technology:
- Improved plant growth and yield through precise control of illumination. - Energy efficiency by only using the necessary amount of artificial lighting. - Increased automation and reduced labor requirements in greenhouse operations. - Enhanced customization and adaptability to different plant species and growth stages.
Original Abstract Submitted
disclosed herein are systems and methods for controlling illumination in a greenhouse, comprising obtaining a geometric model of a greenhouse comprising a grow space segmented to a plurality of grow sections each associated with a respective one of a plurality of dimmable lamps having an illumination area overlapping the respective grow section, computing a shade model for the greenhouse based on the geometric model, the shade model defines, for each of the plurality of grow sections, a respective shading pattern indicative of a level of direct sun light in the respective grow section, enhancing the shade model using one or more machine learning models trained to predict the level of direct sun light in each grow section, and operating one or more of the plurality of dimmable lamps based on the enhanced shade model to illuminate its associated grow section according to one or more illumination rules.
