Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications

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Song, Shigeng and Gibson, Des and Ahmadzadeh, Sam and On Chu, Hin and Warden, Barry and Overend, Russell and Macfarlane, Fraser and Murray, Paul and Marshall, Stephen and Aitkenhead, Matt and Bienkowski, Damian and Allison, Russell (2020) Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications. Applied Optics, 59 (5). A167-A175. ISSN 1559-128X (https://doi.org/10.1364/AO.378269)

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Abstract

Hyperspectral imaging for agricultural applications provides a solution for non-destructive, large-area crop monitoring. However, current products are bulky and expensive due to complicated optics and electronics. A linear variable filter was developed for implementation into a prototype hyperspectral imaging camera that demonstrates good spectral performance between 450 and 900 nm. Equipped with a feature extraction and classification algorithm, the proposed system can be used to determine potato plant health with ∼88% accuracy. This algorithm was also capable of species identification and is demonstrated as being capable of differentiating between rocket, lettuce, and spinach. Results are promising for an entry-level, low-cost hyperspectral imaging solution for agriculture applications.

ORCID iDs

Song, Shigeng, Gibson, Des, Ahmadzadeh, Sam, On Chu, Hin, Warden, Barry, Overend, Russell, Macfarlane, Fraser ORCID logoORCID: https://orcid.org/0000-0002-7411-1446, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Aitkenhead, Matt, Bienkowski, Damian and Allison, Russell;
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