has been cited by the following article(s):
[1]
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Optimisation of the Colour Analysis of Microwave Dried Tomato Applying Taguchi Technique
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Journal of Agricultural Sciences (Belgrade),
2022 |
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[2]
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Clasificación automática de citrus aurantifolia usando visión artificial
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2021 |
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[3]
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「本学会のパラダイムと学術用語」(第五回)
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植物環境工学,
2021 |
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[4]
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Mango grading system based on optimized Convolutional Neural Network
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Mathematical Problems in Engineering,
2021 |
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[5]
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Nondestructive detection of decay in vegetable soybeans stored at different temperatures using chlorophyll fluorescence imaging
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2020 |
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[6]
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Influence of low O2 and high CO2 environment on changes in metabolite concentrations in harvested vegetable soybeans
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2020 |
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[7]
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Digitization of Broccoli Freshness Integrating External Color and Mass Loss
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2020 |
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[8]
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Efficient preservation of sprouting vegetables under simulated microgravity conditions
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2020 |
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[9]
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芒果双面成熟度在线检测分级系统.
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2019 |
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[10]
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A comprehensive review of fruit and vegetable classification techniques
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Image and Vision Computing,
2018 |
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[11]
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A Literature Survey on Methodologies for Classification, Maturity Detection, Defect Identification and Grading of Fruits
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International Journal of Computer Applications,
2018 |
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[12]
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Evaluation of the ripening stages of apple (Golden Delicious) by means of computer vision system
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Biosystems Engineering,
2017 |
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[13]
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Literature survey on methodologies for classification, maturity detection, defect identification and grading of fruits
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2017 |
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[14]
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Objective Evaluation of External Quality of Broccoli Heads Using a Computer Vision System
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Japan Journal of Food Engineering,
2016 |
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[15]
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コンピュータービジョンによるブロッコリー外観品質の客観的評価
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2016 |
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[1]
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Prediction of Colour Characteristics of Microwave-Dried Tomato Slices Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems
Contemporary Agriculture,
2023
DOI:10.2478/contagri-2023-0014
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[2]
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The optimisation of the colour analysis of microwave-dried tomatoes applying the Taguchi technique
Journal of Agricultural Sciences, Belgrade,
2022
DOI:10.2298/JAS2204395H
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[3]
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Paradigm Shifts in Post-harvest System Engineering to Contribute to the Stable Supply of Horticultural Products
Shokubutsu Kankyo Kogaku,
2021
DOI:10.2525/shita.33.147
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[4]
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Influence of low O2 and high CO2 environment on changes in metabolite concentrations in harvested vegetable soybeans
Food Chemistry,
2020
DOI:10.1016/j.foodchem.2020.126380
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[5]
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Nondestructive Detection of Decay in Vegetable Soybeans Stored at Different Temperatures Using Chlorophyll Fluorescence Imaging
Environment Control in Biology,
2020
DOI:10.2525/ecb.58.51
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[6]
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Digitization of Broccoli Freshness Integrating External Color and Mass Loss
Foods,
2020
DOI:10.3390/foods9091305
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[7]
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Evaluation of the ripening stages of apple (Golden Delicious) by means of computer vision system
Biosystems Engineering,
2017
DOI:10.1016/j.biosystemseng.2017.04.009
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[8]
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Objective Evaluation of External Quality of Broccoli Heads Using a Computer Vision System
Japan Journal of Food Engineering,
2016
DOI:10.11301/jsfe.17.107
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