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Comparing Broad-band and Red Edge-based Spectral Vegetation Indices to Estimate Nitrogen Concentration of Crops Using Casi Data
In recent decades, many spectral vegetation indices (SVIs) have been proposed to estimate the leaf nitrogen concentration (LNC) of crops. However, most of these indices were based on the field hyperspectral reflectance. To test whether they can be used in aerial remote platform effectively, in this work a comparison of the sensitivity between several broad-band and red edge-based SVIs to LNC is...
متن کاملAssessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment
There is growing interest for using Spectral Vegetation Indices (SVI) derived by Unmanned Aerial Vehicle (UAV) imagery as a fast and cost-efficient tool for plant phenotyping. The development of such tools is of paramount importance to continue progress through plant breeding, especially in the Mediterranean basin, where climate change is expected to further increase yield uncertainty. In the p...
متن کاملEvaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements
Spectral Vegetation Indices (SVIs) have been widely used to indirectly detect plant diseases. The aim of this research is to evaluate the effect of different disease symptoms on SVIs and introduce suitable SVIs to detect rust disease. Wheat leaf rust is one of the prevalent diseases and has different symptoms including yellow, orange, dark brown, and dry areas. The reflectance spectrum data for...
متن کاملCalori Measure in Paraboli Flat Domains
Steve Hofmann1 John L. Lewis1;2 Department of Mathemati s Department of Mathemati s University of Missouri University of Kentu ky Columbia MO 65211-0001 Lexington, KY 40506-0027 email: hofmann math.missouri.edu john ms.uky.edu Kaj Nystr om2 Current Address: Department of Mathemati s Foreningssparbanken Ume a University Group Finan ial Risk Control 90187 Ume a, Sweden S-10534 Sto kholm, Sweden...
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