A novel intelligent control system for flue-curing barns based on real-time image features-Reference-Cited by-同舟云学术

A novel intelligent control system for flue-curing barns based on real-time image features

Published:2014-07 Issue: Volume:123 Page:77-90
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Wu Juan^ORCID,Yang Simon X.^ORCID,Tian Fengchun

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

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1. State recognition and temperature rise time prediction of tobacco curing using multi-sensor data-fusion method based on feature impact factor;Expert Systems with Applications;2024-03

2. Based on metabolomics, the optimum wind speed process parameters of flue-cured tobacco in heat pump bulk curing barn were explored;Scientific Reports;2023-12-06

3. Application of machine vision and convolutional neural networks in discriminating tobacco leaf maturity on mobile devices;Smart Agricultural Technology;2023-10

4. Metabolome of flue-cured tobacco is significantly affected by the presence of leaf stem;BMC Plant Biology;2023-02-13

5. Modeling of the Bulk Tobacco Flue-Curing Process Using a Deep Learning-Based Method;IEEE Access;2021