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1.
Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models.
Appl Opt
; 60(30): 9560-9569, 2021 Oct 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-34807100
2.
Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data.
Heliyon
; 7(9): e07942, 2021 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-34589622
3.
Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods.
Foods
; 10(12)2021 Dec 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-34945518
4.
Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques.
Foods
; 10(5)2021 Apr 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-33946235
5.
Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.
Plants (Basel)
; 10(5)2021 Apr 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-33946780
6.
Thermodynamic, exergo-economic and exergo-environmental analysis of hybrid geothermal-solar power plant based on ORC cycle using emergy concept.
Heliyon
; 6(4): e03758, 2020 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-32382674
7.
A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties.
Foods
; 9(2)2020 Jan 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-31972986
8.
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.
Plants (Basel)
; 9(12)2020 Dec 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33291348
9.
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.
Plants (Basel)
; 9(11)2020 Nov 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-33198098
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