Capability of hyperspectral and thermal data to predict gas exchange and chlorophyll fluorescence parameters in broccoli-Reference-Cited by-同舟云学术

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Capability of hyperspectral and thermal data to predict gas exchange and chlorophyll fluorescence parameters in broccoli

Published:2023-11-06 Issue: Volume: Page:126-130
ISSN:
Container-title:2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
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Author:

Ramírez-Cuesta Juan Miguel¹,Intrigliolo Diego S.²,Calvo José Martínez²,Vanella Daniela¹,Bolumar Joaquín Bolumar²,Pérez Juan Gabriel Pérez³

Affiliation:

1. University of Catania,Department of Agriculture, Food and Environment (Di3A),Catania,Italy

2. Desertification Research Center, CIDE- CSIC-UV-GVA,Ecology Department,Moncada (Valencia),Spain

3. Centro para el Desarrollo de la Agricultura Sostenible, CDAS-IVIA,Moncada (Valencia),Spain

Funder

Agència Valenciana de la Innovació

Agencia Estatal de Investigación

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424027/10424015/10424238.pdf?arnumber=10424238

Reference7 articles.

1. Ground-based remote sensing for assessing water and nitrogen status of broccoli

2. Plant-based sensing for irrigation management in the field

3. Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)

4. In‐Season Nitrogen Status Assessment and Yield Estimation Using Hyperspectral Vegetation Indices in a Potato Crop

5. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera

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