Anomaly detection in plant growth in a controlled environment using 3D scanning techniques and deep learning

Iva Xhimitiku,Federico Bianchi,Massimiliano Proietti,Tommaso Tocci,Andrea Marini,Lorenzo Menculini, Loris Francesco Termite,Edvige Pucci,Alberto Garinei,Marcello Marconi,Gianluca Rossi

2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)（2021）

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摘要

This paper presents a comparison of different methodologies for monitoring the plants growth in a greenhouse. A 2D measurement based on Computer Vision algorithms and 3D shape measurements techniques (Structured light, LIDAR and photogrammetry) are compared. From the joined 2D and 3D data, an analysis was performed considering health plant indicators. The methodologies are compared among each othe...

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greenhouse farming,3D scanning,structured light,LIDAR,photogrammetry

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