In‐Season Nitrogen Status Assessment and Yield Estimation Using Hyperspectral Vegetation Indices in a Potato Crop-Reference-Cited by-同舟云学术

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

Published:2015-07 Issue:4 Volume:107 Page:1295-1309
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Morier T.¹²,Cambouris A. N.¹,Chokmani K.²

Affiliation:

1. Agriculture and Agri‐Food Canada Soils and Crops Research and Dev. Centre 2560 Hochelaga Blvd. Quebec City QC Canada G1V 2J3

2. Institut National de la Recherche Scientifique Centre Eau Terre Environnement 490 rue de la Couronne Quebec City QC Canada G1K 9A9

Funder

Sustainable Agriculture Environmental Systems

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj14.0402

Reference63 articles.

1. Yellowness index: An application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation

2. Spatial Variability of Potato Tuber Yield and Plant Nitrogen Uptake Related to Soil Properties

3. Bannari A. H.Asalhi andP.M.Teillet.2002.Transformed difference vegetation index (TDVI) for vegetation cover mapping. Geoscience and Remote Sensing Symposium 2002. IGARSS '02. 2002 IEEE International Vol. 5. doi:https://doi.org/10.1109/IGARSS.2002.1026867

4. A review of vegetation indices

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3. Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables;Computers and Electronics in Agriculture;2024-08

4. A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing;Potato Research;2024-06-22

5. Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery;Computers and Electronics in Agriculture;2024-05

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