Detection of Different Crop Growth Stages by Applying Deep Learning Over Sentinel-2 Images of Bahía, Brazil-Reference-Cited by-同舟云学术

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Detection of Different Crop Growth Stages by Applying Deep Learning Over Sentinel-2 Images of Bahía, Brazil

Published:2024-07-07 Issue: Volume:2 Page:3617-3620
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Camacho-De Angulo Yineth Viviana¹,Alexis Arrechea-Castillo Darwin²,Cantero-Mosquera Yessica Carolina³,Tatiana Solano-Correa Yady⁴,Roisenberg Mauro¹

Affiliation:

1. Universidade Federal de Santa Catarina,Florianópolis,SC,Brasil,88040-900

2. Americas Hub,International Center for Tropical Agriculture,Palmira,Colombia,763537

3. Universidad del Cauca,Popayán,Colombia,190001

4. Universidad Tecnológica de Bolívar,Cartagena,Colombia,130010

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642298.pdf?arnumber=10642298

Reference12 articles.

1. The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation

2. Application of artificial intelligence in iot security for crop yield prediction;Malhotra;ResearchBerg Review of Science and Technology,2022

3. Applications of Remote Sensing in Precision Agriculture: A Review

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