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Neural image analysis in the process of quality assessment: domestic pig oocytes.

, , , , , , , , and . ICDIP, volume 9159 of SPIE Proceedings, page 91590Q. SPIE, (2014)

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The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques., , and . Sensors, 23 (4): 1787 (February 2023)Visualization of the tire-soil interaction area by means of ObjectARX programming interface., , , , , , , and . ICDIP, volume 9159 of SPIE Proceedings, page 91590G. SPIE, (2014)Neural image analysis in the process of quality assessment: domestic pig oocytes., , , , , , , , and . ICDIP, volume 9159 of SPIE Proceedings, page 91590Q. SPIE, (2014)Organoleptic damage classification of potatoes with the use of image analysis in production process., , , , , , and . ICDIP, volume 9159 of SPIE Proceedings, page 91590W. SPIE, (2014)Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks., , , , , and . Sensors, 20 (2): 499 (2020)Deep and Machine Learning Using SEM, FTIR, and Texture Analysis to Detect Polysaccharide in Raspberry Powders., , , , , and . Sensors, 21 (17): 5823 (2021)Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed., , , , and . Sensors, 20 (24): 7305 (2020)Computer image analysis in caryopses quality evaluation as exemplified by malting barley., , , , , , , , , and . ICDIP, volume 9631 of SPIE Proceedings, page 96310V. SPIE, (2015)Artificial neural networks and electron microscopy to evaluate the quality of fruit and vegetable spray-dried powders. Case study: Strawberry powder., , , , and . Comput. Electron. Agric., (2018)The application of computer image analysis in life sciences and environmental engineering., , , , , , , and . ICDIP, volume 9159 of SPIE Proceedings, page 915911. SPIE, (2014)