02299naa a2200241 a 450000100080000000500110000800800410001910000170006024500680007726000090014552015870015465300160174165300190175765300090177665300080178565300120179365300080180565300120181365300150182570000130184070000190185377301850187211309602021-06-24       2021    bl uuuu     u00u1 u    #d1 aZANCO, J. J.  aPlants Study through Computational View.h[electronic resource]  c2021  aThe use of images, sensors and mathematical algorithms can assist in the technical  attribute generation, facilitating of the health status plants diagnosis. Combined with this, the computer  vision provides a non-destructive and non-invasive strategy in the collection of samples and quality  quantitative analysis of plant propagules, as well as subserving the preservation of plant organs, in  case any kind of physical evidence is needed. With this in mind, the aim of this research was to identify  signs of homeopathies applied to purslane plants (Pilea microphylla (L.) Liebm.), Using computational  algorithms. The work of capturing the images was carried out in the ANIMA-UNISUL??s laboratory.  To assess the plants, based on the images, algorithms from VibaHT software and ImageJ (64-bit Java  1.8.0_172) were used. The images were generated by webcam (online) and ultrahigh dilution (UHD)  applied for 14 days. Two cameras were used: with a ?blue? filter to capture the near infrared and  normal ultraviolet filter, both, with precision of 640 ?? 480 pixels and 1920 ?? 1280 pixels, respectively.  After capturing the images ? (i) before and (ii) after the UHD application ? mathematical analyzes  were performed. The number of samples of pots with plants was small (4), but the number of repetitions  of the experiment (20) was sufficient to identify significant differences at the level of 1% of probability  between the images before and after the application of UHD. The algorithms used were also robust to  identify the signs of UHD on the surface of purslane leaves  aBiofotonica  amicrovibration  aNDVI  aNIR  aPlantas  aUHD  aVibraHT  avibraimage1 aBOFF, P.1 aBOFF, M. I. C.  tIn: INTERNATIONAL OPEN SCIENCE CONFERENCE, 4., 2021, St. Petersburg, Russia.. Proceedings... St. Petersburg, Russia.: European Academy of Natural Sciences (EANS), 2021. p. 323-330.