MACHINE LEARNING MODELS FOR PREDICTING MECHANICAL DAMAGE, VIGOR AND VIABILITY OF SOYBEAN SEEDS DURING STORAGE-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

MACHINE LEARNING MODELS FOR PREDICTING MECHANICAL DAMAGE, VIGOR AND VIABILITY OF SOYBEAN SEEDS DURING STORAGE

Published:2023 Issue:4 Volume:43 Page:
ISSN:1809-4430
Container-title:Engenharia Agrícola
language:
Short-container-title:Eng. Agríc.

Author:

Cirqueira Laila R.¹,Coradi Paulo C.²^ORCID,Teodoro Larissa P. R.¹,Teodoro Paulo E.¹,Rodrigues Dágila M.³

Affiliation:

1. Federal University of Mato Grosso do Sul, Brazil

2. Federal University of Mato Grosso do Sul, Brazil; Federal University of Santa Maria, Brazil; Federal University of Santa Maria, Brazil

3. Federal University of Santa Maria, Brazil; Federal University of Santa Maria, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Agricultural and Biological Sciences (miscellaneous)

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-69162023000400307&tlng=en

Reference56 articles.

1. Predicting the quality of soybean seeds stored in different environments and packaging using machine learning;André GS;Scientific Reports,2022

2. Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management;Baio FHR;Remote Sensing,2023

3. Comparison of machine learning methods for solving the problem of wheat seeds classification by yield properties;Baryshev DD;Russian Agricultural Sciences,2020

4. A survey on artificial intelligence assurance;Batarseh FA;Journal of Big Data,2021

5. Random forest in remote sensing: a review of applications and future directions;Belgiu M;ISPRS Journal of Photogrammetry and Remote Sensing,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP