Low-Cost Tree Health Categorization and Localization Using Drones and Machine Learning
Author:
Affiliation:
1. California State University,Department of Electrical and Computer Engineering,Fresno, Fresno,CA,U.S.A.,93740
2. Rice University,Department of Electrical and Computer Engineering,Houston,TX,U.S.A.,77005
Funder
Economic Development Administration (EDA) Project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10555566/10555889/10556023.pdf?arnumber=10556023
Reference13 articles.
1. Australia Patent AU2017228695B2;BarsamianDaniel;Precision Agriculture System,2019
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3. Canada Patent CA3034062A1;Maor;System and method for plantation agriculture tasks management and data collection,2017
4. Drones in agriculture: A review and bibliometric analysis
5. United States Patent US9898688B2;Bleiweiss;Vision enhanced drones for precision farming,2016
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