Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Vanya SLAVOVA"'
Autor:
Vanya Slavova
Publikováno v:
Acta Agriculturae Slovenica, Vol 120, Iss 3 (2024)
The study aims to establish the application of fluorescence spectroscopy as a field method for determining post-harvest varietal differences in radish accessions (Raphanus sativus). The proposed method includes studies of radish root crops from stand
Externí odkaz:
https://doaj.org/article/d178e493144347ec92fc0c43e7b2ec91
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 4, Pp 523-531 (2024)
Machine learning techniques can produce fast, accurate and objective results in the analysis of agricultural products. These artificial intelligence-based systems are frequently encountered in studies on agriculture in the literature. This study reve
Externí odkaz:
https://doaj.org/article/4acb3899075c49d4a11a42e19ffedf43
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 9046 (2024)
Camelina (Camelina sativa (L.) Crantz) is a valuable source of essential amino acids, especially sulphur-containing ones, which are generally lacking in leguminous crops, thus representing an alternative source of protein for both humans and farm ani
Externí odkaz:
https://doaj.org/article/50e3f65d5ea6444d84d5c9a7266f2ea7
Autor:
Veselina MASHEVA, Vanya SLAVOVA
Publikováno v:
Acta Agriculturae Slovenica, Vol 119, Iss 4 (2023)
The study’s purpose is to establish the application based on fluorescence spectroscopy as a field method in the determination of varietal differences after tomato harvesting. The tomato fruits will be compared to determine the spectral distribution
Externí odkaz:
https://doaj.org/article/74a3a69a414c428289ae5c0941ce91c2
Publikováno v:
Journal of IMAB, Vol 26, Iss 4, Pp 3356-3362 (2020)
Medication-related osteonecrosis of the jaws is a commonly reported complication in patients receiving Background: In the long history of the humankind the different by natural and man-made disasters are the common phenomena. They cause the appearanc
Externí odkaz:
https://doaj.org/article/3af9a761b6084763ab04ec11d9785f48
Autor:
Ewa Ropelewska, Vanya Slavova, Kadir Sabanci, Muhammet Fatih Aslan, Veselina Masheva, Mariana Petkova
Publikováno v:
Agriculture, Vol 12, Iss 11, p 1887 (2022)
Artificial-intelligence-based analysis methods can provide objective and accurate results. This study aimed to evaluate the performance of machine learning algorithms to classify yeast-inoculated and uninoculated tomato samples using fluorescent spec
Externí odkaz:
https://doaj.org/article/88c61968b7df455faa0fcd466c7c82b3
Publikováno v:
Agriculture, Vol 12, Iss 10, p 1652 (2022)
The objective of this study was to evaluate differences between the red onion cultivar and breeding line using models based on selected fluorescence spectroscopic data built using machine-learning algorithms from different groups of Trees, Functions,
Externí odkaz:
https://doaj.org/article/5ca480b95a9c49d69b8e8806ed5286b5
Autor:
Vanya Slavova
Publikováno v:
Bulgarian Journal of Crop Science / Rastenievdni Nauki; 2024, Vol. 61 Issue 4, p61-72, 12p
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e5f20e83fb16b883ef9d25e72557e73
https://doi.org/10.2139/ssrn.4329506
https://doi.org/10.2139/ssrn.4329506
Publikováno v:
Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering ISBN: 9783031310683
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f7640c1a5f120cb53614dfe1346e03
https://doi.org/10.1007/978-3-031-31069-0_28
https://doi.org/10.1007/978-3-031-31069-0_28
