Design and validation of novel maize grain cleaning loss detection system based on classification models of particle time-domain signals-Reference-Cited by-同舟云学术

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Design and validation of novel maize grain cleaning loss detection system based on classification models of particle time-domain signals

Published:2024-05 Issue: Volume:220 Page:108908
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Li Yibo,Tan Danielle S,Cui Tao,Fan Hongfei,Xu Yang,Zhang Dongxing,Qiao Mengmeng,Hou Yuxin,Xiong Lijian

Publisher

Elsevier BV

Reference28 articles.

1. Sensing technologies for measuring grain loss during harvest in paddy field: a review;Bomoi;AgriEngineering.,2022

2. Real-time grain impurity sensing for rice combine harvesters using image processing and decision-tree algorithm;Chen;Comput. Electron. Agric.,2020

3. Assessment of hatching properties for identifying multiple duck eggs on the hatching tray using machine vision technique;Dong;Comput. Electron. Agric.,2021

4. Design and experiment of maize kernel loss monitoring system based on signal interval duration;Dong;Comput. Electron. Agric.,2023

5. Behavior of maize particle penetrating a sieve hole based on the particle centroid in an air-screen cleaning unit;Feng;Powder Technol.,2021

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