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Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation o...

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation o...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0cd77d0434e9454a9b4d6d08ca281789

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

About this item

Full title

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (11), p.2160

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Advanced techniques capable of early, rapid, and nondestructive detection of the impacts of drought on fruit tree and the measurement of the underlying photosynthetic traits on a large scale are necessary to meet the challenges of precision farming and full prediction of yield increases. We tested the application of hyperspectral reflectance as a h...

Alternative Titles

Full title

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0cd77d0434e9454a9b4d6d08ca281789

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0cd77d0434e9454a9b4d6d08ca281789

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs13112160

How to access this item