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Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields.
Dadashzadeh M, Abbaspour-Gilandeh Y, Mesri-Gundoshmian T, Sabzi S, Hernández-Hernández JL, Hernández-Hernández M, Arribas JI. Dadashzadeh M, et al. Among authors: sabzi s. Plants (Basel). 2020 Apr 27;9(5):559. doi: 10.3390/plants9050559. Plants (Basel). 2020. PMID: 32349459 Free PMC article.
An automatic visible-range video weed detection, segmentation and classification prototype in potato field.
Sabzi S, Abbaspour-Gilandeh Y, Arribas JI. Sabzi S, et al. Heliyon. 2020 May 26;6(5):e03685. doi: 10.1016/j.heliyon.2020.e03685. eCollection 2020 May. Heliyon. 2020. PMID: 32490222 Free PMC article.
A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties.
Pourdarbani R, Sabzi S, Kalantari D, Hernández-Hernández JL, Arribas JI. Pourdarbani R, et al. Among authors: sabzi s. Foods. 2020 Jan 21;9(2):113. doi: 10.3390/foods9020113. Foods. 2020. PMID: 31972986 Free PMC 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.
Pourdarbani R, Sabzi S, Hernández-Hernández M, Hernández-Hernández JL, Gallardo-Bernal I, Herrera-Miranda I. Pourdarbani R, et al. Among authors: sabzi s. Plants (Basel). 2020 Nov 12;9(11):E1547. doi: 10.3390/plants9111547. Plants (Basel). 2020. PMID: 33198098
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