Spectral data augmentation for leaf nutrient uptake quantification-Reference-Cited by-同舟云学术

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Spectral data augmentation for leaf nutrient uptake quantification

Published:2024-10 Issue: Volume:246 Page:82-95
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Martins R.C.,Queirós C.,Silva F.M.,Santos F.,Barroso T.G.,Tosin R.,Cunha M.,Leão M.,Damásio M.,Martins P.,Silvestre J.

Funder

Agência Nacional de Inovação SA

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Reference48 articles.

1. Non-destructive appraisal of macro- and micronutrients in persimmon leaves using vis/NIR hyperspectral imaging;Acosta;Agriculture,2023

2. Point-of-Care using vis-NIR spectroscopy for white blood cell count analysis;Barroso;Chemosensors,2022

3. Point-of-care vis-SWNIR spectroscopy towards reagent-less hemogram analysis;Barroso;Sensors and Actuators B: Chemical,2021

4. Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation;Barth;Computers and Electronics in Agriculture,2020

5. Leaf blade and petiole analysis for nutrient diagnosis inVitis vinifera L. cv. Garnacha tinta;Benito;Australian Journal of Grape and Wine Research,2013

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