Coffee Crop Detection from UAS Orthomaps with Convolutional Neural Networks
Author:
Affiliation:
1. Instituto Tecnológico de Costa Rica (ITCR),Cartago,Costa Rica,30101
2. Instituto Costarricense del Café, ICAFE,Barva,Heredia,Costa Rica
3. CATIE - Centro Agronómico Tropical de Investigación y Enseñanza,Turrialba,Costa Rica,30501
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10291171/10291197/10291910.pdf?arnumber=10291910
Reference24 articles.
1. Erosion Quantification in Runoff Agriculture Plots by Multitemporal High-Resolution UAS Digital Photogrammetry
2. Seguimiento de plantaciones de café a través de fotogrametría UAS y técnicas de aprendizaje profundo;lopez-rojas;M S tesis Maestría en Electrónica Cartago,2022
3. An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning
4. Agisoft. Metashape Professional. Current version 1.7.4;[Available online September 2021],0
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