Spectral classification of aflatoxin and fumonisin contamination in corn at single kernel level
Year: 2022
Type: dissertation
Abstract: al., (2021), was trained on the normalized data.There were 501 kernels in the training set, where 124 kernel had ≥15 ppb aflatoxin and 377 had <15 ppb aflatoxin.The model had a training specificity of 98.9% and a training sensitivity of 95.2%.The model was tested with a different set of kernels to evaluate whether the model was robust enough to classify unknown data.The testing specificity (77.7%) and testing sensitivity (86.7%) were lower than those from the training set.The results show that Stochastic gradient boosting classification accuracy is reasonably high, and could offer an opportunity for sorting strategies.v ACKNOWLEDGMENTS It is always good to take a look at the path that you took to reach your goals and reflect on the experiences that you gained during the process.Looking back at my journey, I can say that I am extremely grateful to that pathway that led me to become the first PhD student in my family.There have been fantastic moments, as well as a few awful experiences; however, it has been an incredible journey that taught me how to become the best version of myself.To start with, I would like to express my utmost gratitude to my principal advisor Dr. Matthew Stasiewicz, who granted me the opportunity to join his lab 4 years ago and has been an excellent mentor.He taught me how to be a great scientist that can design experiments that are applicable to real life problems.He always challenged my point of view, and encouraged me to widen my scientific perspective, he taught me not to be just another food scientist but to be a fullycapable scholar that knows how to properly conduct research and provide meaningful results to problems in the scientific world.He taught me how to always improve my intellectual curiosity and my ability of critical thinking, but most importantly, he taught me to have a scrupulous attention to details to generate valuable results.I greatly appreciate the guidance and advice from my committee members, including Dr.
Author: Chavez Viteri, Ruben Alexander
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W7220824213