2021 Digital Image Computing: Techniques and Applications (DICTA) 2021
DOI: 10.1109/dicta52665.2021.9647066
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IoT-based Plant Health Analysis using Optical Sensors in Precision Agriculture

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Cited by 4 publications
(3 citation statements)
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“…Plant health is observed through the leaves. The advancement of technologies allows leave analysis, through (1) IoT-based system applying image processing machine learning techniques [54,55] or (2) IoT-based system using optical analysis [56,57]. The condition of the plant, including any diseases or excess or deficiency in nutrients and water, is indicated by the state of the leaves.…”
Section: Plant Health Monitoringmentioning
confidence: 99%
See 1 more Smart Citation
“…Plant health is observed through the leaves. The advancement of technologies allows leave analysis, through (1) IoT-based system applying image processing machine learning techniques [54,55] or (2) IoT-based system using optical analysis [56,57]. The condition of the plant, including any diseases or excess or deficiency in nutrients and water, is indicated by the state of the leaves.…”
Section: Plant Health Monitoringmentioning
confidence: 99%
“…The plant-health-monitoring approach used in Ref. [56], monitors the plant based on a health cycle, by observing the leaves from green-yellow to completely dry. The authors first demonstrated the indoor implementation where the temperature and light are under control, the image of the plant is captured by RGB camera and multi-spectral data are captured with a micro spectrometer.…”
Section: Plant Health Monitoringmentioning
confidence: 99%
“…Additionally, multispectral sensors can assess plant health through changes in color and reflectance. These technologies enhance precision and efficiency in vertical farming [111]. Recently, portable optical sensors have been developed to monitor plant stress, offering a valuable tool for early diagnosis and realtime plant health assessment on farms [112].…”
Section: Plant Monitoring and Control Systemsmentioning
confidence: 99%