AgroCounters—A repository for counting objects in images in the agricultural domain by using deep-learning algorithms: Framework and evaluation-Reference-Cited by-同舟云学术

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AgroCounters—A repository for counting objects in images in the agricultural domain by using deep-learning algorithms: Framework and evaluation

Published:2024-07 Issue: Volume:222 Page:108988
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Farjon Guy^ORCID,Edan Yael

Publisher

Elsevier BV

Reference69 articles.

1. Automatic live fingerlings counting using computer vision;Albuquerque;Comput. Electron. Agric.,2019

2. Automatic counting of wheat spikes from wheat growth images;Alharbi,2018

3. On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation;Bach;PLoS One,2015

4. Method for wheat ear counting based on frequency domain decomposition of MSVF-ISCT;Bao;Inf. Process. Agric.,2023

5. Deep fruit detection in orchards;Bargoti,2017

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