Agricultural Sciences

Agricultural Sciences

ISSN Print: 2156-8553
ISSN Online: 2156-8561
www.scirp.org/journal/as
E-mail: as@scirp.org
"A Grading Method for Mangoes on the Basis of Peel Color Measurement Using a Computer Vision System"
written by Yoshio Makino, Kenjiro Goto, Seiichi Oshita, Akari Sato, Masato Tsukada,
published by Agricultural Sciences, Vol.7 No.6, 2016
has been cited by the following article(s):
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[1] Optimisation of the Colour Analysis of Microwave Dried Tomato Applying Taguchi Technique
Journal of Agricultural Sciences (Belgrade), 2022
[2] Clasificación automática de citrus aurantifolia usando visión artificial
2021
[3] 「本学会のパラダイムと学術用語」(第五回)
植物環境工学, 2021
[4] Mango grading system based on optimized Convolutional Neural Network
Mathematical Problems in Engineering, 2021
[5] Nondestructive detection of decay in vegetable soybeans stored at different temperatures using chlorophyll fluorescence imaging
2020
[6] Influence of low O2 and high CO2 environment on changes in metabolite concentrations in harvested vegetable soybeans
2020
[7] Digitization of Broccoli Freshness Integrating External Color and Mass Loss
2020
[8] Efficient preservation of sprouting vegetables under simulated microgravity conditions
2020
[9] 芒果双面成熟度在线检测分级系统.
2019
[10] A comprehensive review of fruit and vegetable classification techniques
Image and Vision Computing, 2018
[11] A Literature Survey on Methodologies for Classification, Maturity Detection, Defect Identification and Grading of Fruits
International Journal of Computer Applications, 2018
[12] Evaluation of the ripening stages of apple (Golden Delicious) by means of computer vision system
Biosystems Engineering, 2017
[13] Literature survey on methodologies for classification, maturity detection, defect identification and grading of fruits
2017
[14] Objective Evaluation of External Quality of Broccoli Heads Using a Computer Vision System
Japan Journal of Food Engineering, 2016
[15] 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
2016
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