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E-mail
sales@eco-tech.com.cn
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Phone
18210150760
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Address
101B, Unit 1, Building 6, Courtyard 3, Gaolizhang Road, Haidian District, Beijing
Beijing Yiketai Ecological Technology Co., Ltd
sales@eco-tech.com.cn
18210150760
101B, Unit 1, Building 6, Courtyard 3, Gaolizhang Road, Haidian District, Beijing
PhenoTron®Intelligent LED light source cultivation and phenotype analysis platform
PhenoTron ® The plant intelligent LED light source cultivation and phenotype analysis platform is developed and produced based on Yiketai technology (ZL 2021 2 1568461.0), integrating Yiketai Ecological Technology Company's new generation agricultural sensor technology+AI technologyCan be used for plant breeding, light cultivation, simulating circadian rhythms, and at the same timeThrough the integration and analysis of multiple sensors, online all-weather monitoring and analysis of plant phenotypes such as plant growth morphological traits, photosynthetic physiological traits, etc. can be widely applied to:
ØCultivation, testing and identification of crop germplasm resources
ØGenetic breeding, stress physiology, and resistance screening
ØPhotobiology research, or plant factories, vertical agriculture research, etc
ØCrop cultivation and phenotype analysis at different growth stages, phenotype big data library construction
ØVegetables and medicinal productsPlant cultivation and functional trait analysis
ØSmart agriculture, digital agriculture simulation, experimental research
ØPhenotypic analysis under controlled environmental conditions
Main technical features:
uSingle layer or double-layer (compound) multi-channel (band) intelligenceLED light source, can simulate different light formulas such as circadian rhythm, cloudy or understory lighting, etc
uMulti source sensor technology for online 24/7 monitoring and analysis of plant phenotypes
uCan simultaneously perform chlorophyll fluorescence imaging analysis and chlorophyll content imaging analysis (chlorophyll fluorescence multispectral imaging technology)
uThermo RGB imaging analysis, Yiketai infrared thermal imaging and RGB imaging fusion analysis technology
uMulti functional hyperspectral imaging analysis, simultaneously performing reflected lightUV-MCF Plant Fluorescence and Chlorophyll Fluorescence Hyperspectral Imaging Analysis
uCan be used for potted plants, tissue cultured seedlings, seedlings, and other plants/In vivo phenotype imaging measurement and analysis of crops, as well as breeding and cultivation
uOptional monitoring of plant growth environmental factors such as air temperature and humidity, soil temperature and moisture
uOptional automatic watering function module
uOptional walk-in growth box
uHigh throughput, non-contact/Non damaging, digital/visual

Left figure:PhenoTron intelligent LED light source cultivation and phenotype analysis platform; The image on the right is quoted fromThomas DepaepeWait, wait(MADI: A multispectral automated dynamic imager to monitor plant health. Plant Phenomics, 2025),Utilizing chlorophyll fluorescence imaging technology, infrared thermography, andRGB imaging technology for monitoring plant stress
Application cases:
Muhammad Adeel Hassanwait,Recently, a dual layer high-throughput plant phenotype system was reported to track plant stress response in controlled environments(PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral re ectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments. Plant Phenomics, 2025)The system uses reflectance spectroscopy, chlorophyll fluorescence spectroscopy, andRGBImaging analysis technology was used to monitor and analyze the growth and stress response of soybeans under controlled environmental conditions under different processing conditions throughout the day and night

soybeanhealthyKang Watering, Drought Stress, and Disease Stress3In this state,continuous5Sky monitoringofPhenotypic dynamicsThe above figure shows the reflectance index, and the following figure shows the chlorophyll fluorescence spectrumF685/F735Ratio index (quoted from)Muhammad Adeel Hassan etc. Plant Phenomics, 2025)