Zhou, Zhenjiang
- Aarhus University
- Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences
Abstract
Two years experiments were set up to evaluate the performance of different vegetation indices (VI) to estimate shoot N concentration (N-c) and shoot dry matter (DM) for a potato crop grown under different nitrogen (N) treatments. Possibilities to improve the performance of VI using normalization by leaf area index (LAI) or camera-derived ground cover fraction (GC) were also investigated. Results indicated that N-c was significantly correlated to RRE (Near-infrared divided by red edge reflectance) and RRE/GC with a coefficient of determination (R-2) of 0.62 and 0.78, respectively, indicating that inclusion of auxiliary parameter GC together with RRE substantially improved the correlation as compared to using only RRE. However, no significant correlation between N-c and RVI (Ratio Vegetation Index, near-infrared divided by red reflectance) or NDVI (Normalized Difference Vegetation Index) was found. However, DM was highly correlated to RVI and NDVI. Moreover, DM showed significant relationship (R-2 = 0.86) with GC, highlighting its versatile usefulness in estimating agronomic variables DM and No which are the core variables to assess N status of crops for a better N application.
Keywords
Amera image analysis; Normalized vegetation index; Drip irrigation; Ground coverage
Published in
Computers and Electronics in Agriculture
2018, volume: 144, pages: 154-163
Publisher: ELSEVIER SCI LTD
SLU Authors
UKÄ Subject classification
Agricultural Science
Publication identifier
- DOI: https://doi.org/10.1016/j.compag.2017.12.005
Permanent link to this page (URI)
https://res.slu.se/id/publ/94352