Increasing relevance of LED growth lights in greenhouse horticulture
The global greenhouse horticulture market size is estimated to grow by USD 11.02 billion from 2023 to 2027, according to Technavio.
Greenhouse horticulture relies on adequate lighting for plant growth, especially during seasons with limited natural sunlight. Solutions like photoperiodic and supplemental lighting address this need. Photosynthesis occurs within a specific wavelength range, 400 to 700 nanometers, termed photosynthetically active radiation (PAR).
LEDs have emerged as superior to traditional sodium lamps due to safety, longevity, and adjustability of light wavelength. Although initial costs may deter adoption, LEDs are more cost-effective over time, outlasting sodium lamps and integrating seamlessly with control systems.
The affordability of LED systems, particularly when compared to greenhouse infrastructure, further supports their adoption. Integration with IoT enables advanced functionalities like data collection via sensors for predictive analytics, enhancing production efficiency and reducing uncertainty.
By leveraging machine learning algorithms, factors like light, temperature, and CO2 levels can be optimized to maximize output, ensuring a reliable and sustainable approach to greenhouse horticulture.
Greenhouse horticulture relies on adequate lighting for plant growth, especially during seasons with limited natural sunlight. Solutions like photoperiodic and supplemental lighting address this need. Photosynthesis occurs within a specific wavelength range, 400 to 700 nanometers, termed photosynthetically active radiation (PAR).
LEDs have emerged as superior to traditional sodium lamps due to safety, longevity, and adjustability of light wavelength. Although initial costs may deter adoption, LEDs are more cost-effective over time, outlasting sodium lamps and integrating seamlessly with control systems.
The affordability of LED systems, particularly when compared to greenhouse infrastructure, further supports their adoption. Integration with IoT enables advanced functionalities like data collection via sensors for predictive analytics, enhancing production efficiency and reducing uncertainty.
By leveraging machine learning algorithms, factors like light, temperature, and CO2 levels can be optimized to maximize output, ensuring a reliable and sustainable approach to greenhouse horticulture.
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