IDENTIFICATION OF MAIZE LODGING: A CASE STUDY USING A REMOTELY PILOTED AIRCRAFT SYSTEM
Author:
Affiliation:
1. University of São Paulo, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
Agricultural and Biological Sciences (miscellaneous)
Link
http://www.scielo.br/pdf/eagri/v39nspe/1809-4430-eagri-39-spe-0066.pdf
Reference18 articles.
1. UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability;Bendig J;Photogrammetrie - Fernerkundung - Geoinformation,2013
2. Assessing lodging severity over an experimental maize (Zea mays L.) field using UAS images;Chu TX;Remote Sensing,2017
3. Mid to Late-Season Lodging;Elmore R;Iowa State University Extension and Outreach,2013
4. Cultivo do Milho, Sistemas de produção 2;Embrapa Milho e Sorgo,2010
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3. Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better Predict Lodging Damage in Sorghum;Remote Sensing;2022-02-04
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5. Analysis of Plant Height Changes of Lodged Maize Using UAV-LiDAR Data;Agriculture;2020-05-01
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