A dataset of the quality of soybean harvested by mechanization for deep-learning-based monitoring and analysis-Reference-Cited by-同舟云学术

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A dataset of the quality of soybean harvested by mechanization for deep-learning-based monitoring and analysis

Published:2024-02 Issue: Volume:52 Page:109833
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Chen Man,Jin Chengqian,Ni Youliang,Yang Tengxiang^ORCID,Xu Jinshan

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference10 articles.

1. Online monitoring method of mechanized soybean harvest quality based on machine vision;Chen;Trans. Chinese Soc. Agric. Mach.,2021

2. Online quality detection of machine-harvested soybean based on improved U-Net network;Jin;Trans. Chinese Soc. Agric. Eng.,2022

3. Semantic segmentation-based mechanized harvesting soybean quality detection;Jin;Sci. Prog.,2022

4. Online detection system for wheat machine harvesting impurity rate based on DeepLabV3+;Chen;Sensors,2022

5. A dataset of pomegranate growth stages for machine learning-based monitoring and analysis;Zhao;Data Br.,2023

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