IoT Camera-based Approach to Capture and Process SI-NDVI Sensor Data for Industrial Tomato Greenhouse
2019 IEEE 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2019): Proceedings 2019
Jānis Bicāns, Krists Kviesis, Ansis Avotiņš

Normalized Difference Vegetation Index (NDVI) is an important remote measurement in agriculture as it has high correlation with plant growth and yield result. NDVI used together with other industrial greenhouse sensors would provide more detailed information on which greenhouse operation individual parameter or parameter group change (temperature, natural light level, air humidity, irrigation cycle. etc.) have greater impact on plant wellbeing and yield. NDVI or other remote contactless measurement methods, like chlorophyll Fluorescence and Multispectral imaging could provide an instant feedback on current tomato plant state and wellbeing. In this paper, we present our experimental setup and corresponding approach on long term NDVI sensor setup and data capturing in industrial greenhouse environment which has artificial light component along with the natural light. In details we discuss differences in NDVI calculation in environments with different kind of artificial and natural lighting combinations.


Atslēgas vārdi
NDVI, SI-NDVI, NIR Camera, Tomato greenhouse, IoT system
DOI
10.1109/AIEEE48629.2019.8977127
Hipersaite
https://ieeexplore.ieee.org/document/8977127

Bicāns, J., Kviesis, K., Avotiņš, A. IoT Camera-based Approach to Capture and Process SI-NDVI Sensor Data for Industrial Tomato Greenhouse. No: 2019 IEEE 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2019): Proceedings, Latvija, Liepaja, 15.-16. novembris, 2019. Piscataway: IEEE, 2019, 153.-157.lpp. ISBN 978-1-7281-6731-2. e-ISBN 978-1-7281-6730-5. Pieejams: doi:10.1109/AIEEE48629.2019.8977127

Publikācijas valoda
English (en)
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