A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery-Reference-Cited by-同舟云学术

A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery

Published:2021-04 Issue: Volume:174 Page:1-17
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Osco Lucas Prado,dos Santos de Arruda Mauro,Gonçalves Diogo Nunes,Dias Alexandre,Batistoti Juliana,de Souza Mauricio,Gomes Felipe David Georges,Ramos Ana Paula Marques,de Castro Jorge Lúcio André,Liesenberg Veraldo,Li Jonathan,Ma Lingfei,Marcato José,Gonçalves Wesley Nunes

Funder

FAPESC

FUNDECT

CNPq

Embrapa

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference80 articles.

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4. UAV-based high throughput phenotyping in citrus utilizing multispectral imaging and artificial intelligence;Ampatzidis;Remote Sens.,2019

5. Identification and classification of maize drought stress using deep convolutional neural network;An;Symmetry,2019

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