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Counterfeit Detection of Iranian Black Tea Using Image Processing and Deep Learning Based on Patched and Unpatched Images.
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- Horticulturae, 2024, v. 10, n. 7, p. 665, doi. 10.3390/horticulturae10070665
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- Article
Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning.
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- Horticulturae, 2024, v. 10, n. 1, p. 43, doi. 10.3390/horticulturae10010043
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- Article
From Harvest to Market: Non-Destructive Bruise Detection in Kiwifruit Using Convolutional Neural Networks and Hyperspectral Imaging.
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- Horticulturae, 2023, v. 9, n. 8, p. 936, doi. 10.3390/horticulturae9080936
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- Article
Interpretation of Hyperspectral Images Using Integrated Gradients to Detect Bruising in Lemons.
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- Horticulturae, 2023, v. 9, n. 7, p. 750, doi. 10.3390/horticulturae9070750
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- Article
Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images.
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- Electronics (2079-9292), 2023, v. 12, n. 12, p. 2706, doi. 10.3390/electronics12122706
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- Article
Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging.
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- Algorithms, 2023, v. 16, n. 2, p. 113, doi. 10.3390/a16020113
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- Article
Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves.
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- Remote Sensing, 2022, v. 14, n. 24, p. 6366, doi. 10.3390/rs14246366
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- Article
Convolutional Neural Networks for Estimating the Ripening State of Fuji Apples Using Visible and Near-Infrared Spectroscopy.
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- Food & Bioprocess Technology, 2022, v. 15, n. 10, p. 2226, doi. 10.1007/s11947-022-02880-7
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One-Dimensional Convolutional Neural Networks for Hyperspectral Analysis of Nitrogen in Plant Leaves.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 24, p. 11853, doi. 10.3390/app112411853
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- Article
Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods.
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- Foods, 2021, v. 10, n. 12, p. 2967, doi. 10.3390/foods10122967
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- Article
Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques.
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- Foods, 2021, v. 10, n. 5, p. 982, doi. 10.3390/foods10050982
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- Article
Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.
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- Plants (2223-7747), 2021, v. 10, n. 5, p. 898, doi. 10.3390/plants10050898
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- Article
Early Detection of Excess Nitrogen Consumption in Cucumber Plants Using Hyperspectral Imaging Based on Hybrid Neural Networks and the Imperialist Competitive Algorithm.
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- Agronomy, 2021, v. 11, n. 3, p. 575, doi. 10.3390/agronomy11030575
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- Article
Non-Destructive Prediction of Titratable Acidity and Taste Index Properties of Gala Apple Using Combination of Different Hybrids ANN and PLSR-Model Based Spectral Data.
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- Plants (2223-7747), 2020, v. 9, n. 12, p. 1718, doi. 10.3390/plants9121718
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- Article
Determination of the Most Effective Wavelengths for Prediction of Fuji Apple Starch and Total Soluble Solids Properties.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 22, p. 8145, doi. 10.3390/app10228145
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- Article
Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most Effective Wavelengths Using Hybrid Artificial Neural Network—Imperialist Competitive Algorithm.
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- Plants (2223-7747), 2020, v. 9, n. 11, p. 1547, doi. 10.3390/plants9111547
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- Article
Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data.
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- Journal of Agricultural Sciences / Tarim Bilimleri Dergisi, 2020, v. 26, n. 3, p. 339, doi. 10.15832/ankutbd.523574
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- Article
Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields.
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- Plants (2223-7747), 2020, v. 9, n. 5, p. 559, doi. 10.3390/plants9050559
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- Article
A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images.
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- Computers (2073-431X), 2020, v. 9, n. 1, p. 6, doi. 10.3390/computers9010006
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- Article
Estimation of the Constituent Properties of Red Delicious Apples Using a Hybrid of Artificial Neural Networks and Artificial Bee Colony Algorithm.
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- Agronomy, 2020, v. 10, n. 2, p. 267, doi. 10.3390/agronomy10020267
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- Article
A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties.
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- Foods, 2020, v. 9, n. 2, p. 113, doi. 10.3390/foods9020113
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- Article
A Combined Method of Image Processing and Artificial Neural Network for the Identification of 13 Iranian Rice Cultivars.
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- Agronomy, 2020, v. 10, n. 1, p. 117, doi. 10.3390/agronomy10010117
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- Article
Designing a Fruit Identification Algorithm in Orchard Conditions to Develop Robots Using Video Processing and Majority Voting Based on Hybrid Artificial Neural Network.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 1, p. 383, doi. 10.3390/app10010383
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- Article
A Video Image Segmentation System for the Fruit-trees in Multi-stage Outdoors Orchard under Natural Conditions.
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- Journal of Agricultural Sciences / Tarim Bilimleri Dergisi, 2019, v. 25, n. 4, p. 427, doi. 10.15832/ankutbd.434137
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- Article
Automatic Classification of Chickpea Varieties Using Computer Vision Techniques.
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- Agronomy, 2019, v. 9, n. 11, p. 672, doi. 10.3390/agronomy9110672
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- Article
Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network.
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- Agronomy, 2019, v. 9, n. 11, p. 735, doi. 10.3390/agronomy9110735
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- Article
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.
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- Remote Sensing, 2019, v. 11, n. 21, p. 2546, doi. 10.3390/rs11212546
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- Article
The Use of the Combination of Texture, Color and Intensity Transformation Features for Segmentation in the Outdoors with Emphasis on Video Processing.
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- Agriculture; Basel, 2019, v. 9, n. 5, p. 104, doi. 10.3390/agriculture9050104
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- Article
An Automatic Non-Destructive Method for the Classification of the Ripeness Stage of Red Delicious Apples in Orchards Using Aerial Video.
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- Agronomy, 2019, v. 9, n. 2, p. 84, doi. 10.3390/agronomy9020084
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- Article
Segmentation of Apples in Aerial Images under Sixteen Different Lighting Conditions Using Color and Texture for Optimal Irrigation.
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- Water (20734441), 2018, v. 10, n. 11, p. 1634, doi. 10.3390/w10111634
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- Article
Developing a Machine Vision System to Detect Weeds from Potato Plant.
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- Journal of Agricultural Sciences / Tarim Bilimleri Dergisi, 2018, v. 24, n. 1, p. 105, doi. 10.15832/ankutbd.446402
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- Article
Identification of Oxtongue Flowers using Image Processing Technique.
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- Jordan Journal of Agricultural Sciences, 2017, v. 13, n. 2, p. 421
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- Article
Machine vision based expert system to estimate orange mass of three varieties.
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- International Journal of Agricultural & Biological Engineering, 2017, v. 10, n. 2, p. 132, doi. 10.3965/j.ijabe.20171002.1737
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- Article
Automatic Grading of Emperor Apples Based on Image Processing and ANFIS.
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- Journal of Agricultural Sciences / Tarim Bilimleri Dergisi, 2015, v. 21, n. 3, p. 326, doi. 10.1501/tarimbil_0000001335
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