Assessing the Impact of Soil Contamination on Maize Plant Development using UAV-Based Multispectral Indices
Author:
Affiliation:
1. Italian Aerospace Research Centre,Capua,Italy,81043
2. Università di Napoli Federico II,Dipartimento di Agraria,Portici,Italy,80055
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155645/10155789/10155981.pdf?arnumber=10155981
Reference28 articles.
1. Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service
2. Determination of changes in leaf and canopy spectra of plants grown in soils contaminated with petroleum hydrocarbons
3. UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
4. Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment
5. Development of a low-cost quadrotor UAV based on ADRC for agricultural remote sensing
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1. Hyperspectral Features for Contaminated Soil Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
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