Corn Nitrogen Status Diagnosis with an Innovative Multi-Parameter Crop Circle Phenom Sensing System

Accurate and non-destructive in-season crop nitrogen (N) status diagnosis is important for the success of precision N management (PNM). Several active canopy sensors (ACS) with two or three spectral wavebands have been used for this purpose. The Crop Circle Phenom sensor is a new integrated multi-pa...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 13; H. 3; S. 401
Hauptverfasser:	Cummings, Cadan, Miao, Yuxin, Paiao, Gabriel Dias, Kang, Shujiang, Fernández, Fabián G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2021
Schlagworte:	aboveground biomass active canopy sensing Air temperature Atmospheric pressure Biomass Canopies canopy Cell division Chlorophyll Corn Crops developmental stages Diagnosis Drainage Drainage systems experimental design Farms Fertilizers field experimentation Growing season Growth stage Humidity Information management integrated sensing system Leaf area Leaf area index Learning algorithms Machine learning Minnesota model validation Modelling Nitrogen nitrogen content nitrogen nutrition index no-tillage normalized difference vegetation index Normalized difference vegetative index Nutrition Nutrition assessment Parameters Performance prediction phenomics photosynthetically active radiation Plant growth precision nitrogen management reflectance Regression analysis Regression models Remote sensing Seasons Sensors soil Soils strip tillage Tillage Vegetables Vegetation Vegetation index Zea mays United States > US Minnesota
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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