نتائج البحث

A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice.

• Source: Plant Methods. 2011, Vol. 7 Issue 1, p44-56. 13p.

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A machine vision system for automated non-invasive assessment ofcell viability via dark field microscopy, wavelet feature selection andclassification.

• Source: BMC Bioinformatics. 2008 Supplement 9, Vol. 9, p449-463. 15p.

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A machine vision platform for measuring imbibition of maize kernels: quantification of genetic effects and correlations with germination.

• Authors : Miller ND; 1Department of Botany, University of Wisconsin, 430 Lincoln Drive, Madison, WI 53706 USA.; Stelpflug SC

• Source: Plant methods [Plant Methods] 2018 Dec 21; Vol. 14, pp. 115. Date of Electronic Publication: 2018 Dec 21 (Print Publication: 2018).Publisher: BioMed Central Country of Publication: England NLM ID: 101245798 Publication Model: eCollection Cited Medium:

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Chemical crystal identification with deep learning machine vision.

• Authors : Mungofa P; Soil and Water Science Department, Citrus Research and Education Center, University of Florida, 700 Experiment Station Rd, Lake Alfred, FL, 33850, USA.; Schumann A

Subjects: Deep Learning* ; Image Processing, Computer-Assisted* ; Microscopy*

• Source: BMC research notes [BMC Res Notes] 2018 Oct 05; Vol. 11 (1), pp. 703. Date of Electronic Publication: 2018 Oct 05.Publisher: Biomed Central Country of Publication: England NLM ID: 101462768 Publication Model: Electronic Cited Medium:

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A novel machine-vision-based facility for the automatic evaluation of yield-related traits in rice.

• Authors : Duan L; Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, P.R. China.; Key Laboratory of Biomedical Photonics of Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd., Wuhan 430074, P.R. China.

• Source: Plant methods [Plant Methods] 2011 Dec 12; Vol. 7, pp. 44. Date of Electronic Publication: 2011 Dec 12.Publisher: BioMed Central Country of Publication: England NLM ID: 101245798 Publication Model: Electronic Cited Medium:

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A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification.

• Authors : Wei N; Bielefeld University, Faculty of Technology, Fermentation Engineering, PO-Box 100131, 33501 Bielefeld, Germany. ; Flaschel E

Subjects: Algorithms* ; Artificial Intelligence*; Image Interpretation, Computer-Assisted/Image Interpretation, Computer-Assisted/Image Interpretation, Computer-Assisted/*methods

• Source: BMC bioinformatics [BMC Bioinformatics] 2008 Oct 21; Vol. 9, pp. 449. Date of Electronic Publication: 2008 Oct 21.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium:

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Improved wood species identification based on multi-view imagery of the three anatomical planes.

• Authors : da Silva, Núbia Rosa; Van Acker, Joris; De Ridder, Maaike ...

Subjects: Wood anatomy; Texture analysis; Wood identification

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Improved wood species identification based on multi-view imagery of the three anatomical planes.

• Authors : Rosa da Silva, Núbia^1,2,3 (AUTHOR) ; Deklerck, Victor⁴ (AUTHOR); Baetens, Jan M.¹ (AUTHOR)

• Source: Plant Methods. 6/11/2022, Vol. 18 Issue 1, p1-17. 17p.

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Cotton stubble detection based on wavelet decomposition and texture features.

• Authors : Yang, Yukun^1,2 (AUTHOR); Nie, Jing^1,2 (AUTHOR); Kan, Za^1,2 (AUTHOR)

• Source: Plant Methods. 11/2/2021, Vol. 17 Issue 1, p1-15. 15p.

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Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning.

• Authors : Qureshi, Yasser Mehmood¹ (AUTHOR) ; Voloshin, Vitaly^1,2 (AUTHOR); Towers, Catherine Elizabeth¹ (AUTHOR)

• Source: Parasites & Vectors. 7/1/2024, Vol. 17 Issue 1, p1-16. 16p.

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