Article

Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation

2019-09-01

Abstract excerpt

Hyperspectral imaging (HSI) is a powerful technology already used for many objectives in agriculture. Applications include disease monitoring, plant phenotyping, yield estimation or fruit composition and ripeness. However, the cost of hyperspectral sensors is typically an order of magnitude higher than simpler RGB cameras, which can be prohibitive. Given that in HSI processing the spectral data often contains redu...

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Literature Corpus work: 1f3976c7-40c2-545c-9c2a-6c4993b4e557
DOI: 10.1016/j.compag.2019.104890

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Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimationDOI 10.1016/j.compag.2019.104890Read

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