Monofloral honeys as a potential source of natural antioxidants, minerals and medicine

R Mărgăoan, E Topal, R Balkanska, B Yücel, T Oravecz… - Antioxidants, 2021 - mdpi.com
Background: vegetative diversity is based on different climate and geographical origins. In
terms of beekeeping, herbal diversity is strongly correlated to the production of a wide …

Differences between honeydew and blossom honeys: A review

C Pita-Calvo, M Vázquez - Trends in Food Science & Technology, 2017 - Elsevier
Background Honey is classified in blossom honey (nectar of plants) or honeydew honey
(secretions of living parts of plants or excretions of plant-sucking insects on plants). The …

[PDF][PDF] Uncertainty in deep learning

Y Gal - 2016 - 106.54.215.74
PowerPoint 演示文稿 Page 1 Uncertainty in Deep Learning Yarin Gal 2018.7.29 Page 2 Page
3 Different Uncertainties Two main types of uncertainty, often confused by practitioners, but …

Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Y Gal, Z Ghahramani - international conference on machine …, 2016 - proceedings.mlr.press
Deep learning tools have gained tremendous attention in applied machine learning.
However such tools for regression and classification do not capture model uncertainty. In …

Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades

S Condran, M Bewong, MZ Islam, L Maphosa… - IEEE …, 2022 - ieeexplore.ieee.org
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

Dropconnect is effective in modeling uncertainty of bayesian deep networks

A Mobiny, P Yuan, SK Moulik, N Garg, CC Wu… - Scientific reports, 2021 - nature.com
Deep neural networks (DNNs) have achieved state-of-the-art performance in many
important domains, including medical diagnosis, security, and autonomous driving. In …

Quality, composition and health-protective properties of citrus honey: A review

SKT Seraglio, M Schulz, P Brugnerotto, B Silva… - Food Research …, 2021 - Elsevier
Citrus honey is one of the most important monofloral honeys produced and consumed
worldwide. This honey has pleasant sensorial characteristics, which include light color and …

Geographical origin and botanical type honey authentication through elemental metabolomics via chemometrics

SA Drivelos, GP Danezis, M Halagarda, S Popek… - Food Chemistry, 2021 - Elsevier
The trace and rare earth elements content of 93 honeys of different botanical type and origin
have been studied through ICP-MS. Discriminant Analysis (DA) was successful for botanical …

Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey

Z Gan, Y Yang, J Li, X Wen, M Zhu, Y Jiang… - Journal of Food …, 2016 - Elsevier
The feasibility of sensors (Electronic Nose, EN; Electronic Tongue, ET) and spectra (Near
Infrared spectrum, NIR; Mid Infrared spectrum, MIR) to evaluate raw honey samples (Vitex …

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review

C Maione, F Barbosa Jr, RM Barbosa - Computers and Electronics in …, 2019 - Elsevier
Because honey is a natural product synthetized by bees from secretions of various flowers
and plants, its composition and properties are determined by those unique floral origins …