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Monitoring grape berry maturity by hyperspectral imaging: Potential of robust methods for sugar content prediction

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Computer Science [cs] Signal and Image Processing Life Sciences [q-bio] Agricultural sciences Sciences and technics of agriculture Chemical Sciences

Maxime Ryckewaert  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-03783355

Submitted on : Thursday, September 22, 2022-10:36:24 AM

Last modification on : Tuesday, January 24, 2023-3:53:41 AM

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hal-03783355 , version 1 (22-09-2022)

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  • HAL Id : hal-03783355 , version 1

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Maxime Ryckewaert, Daphné Heran, Maxime Metz, Carole Feilhes, Fanny Prezman, et al.. Monitoring grape berry maturity by hyperspectral imaging: Potential of robust methods for sugar content prediction. IASIM 2022-Conference on spectral imaging, Jul 2022, Esbjerg, Denmark. ⟨hal-03783355⟩

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ITAP MONTPELLIER-SUPAGRO INRAE INRAEOCCITANIEMONTPELLIER MATHNUM
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