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pro vyhledávání: '"Rodica Gabriela Dawod"'
Autor:
Rodica Gabriela Dawod, Ciprian Dobre
Publikováno v:
Journal of Agriculture and Food Research, Vol 9, Iss , Pp 100323- (2022)
Remarkable progress in the identification of foliar diseases based on plant images has been achieved through the introduction of convolutional neural networks (CNN), but most studies are based on images taken in laboratory conditions, on a single-col
Externí odkaz:
https://doaj.org/article/3c4e3c92665e407389646b86761ba311
Autor:
Rodica Gabriela Dawod, Ciprian Dobre
Publikováno v:
Sensors, Vol 22, Iss 7, p 2696 (2022)
Recent studies have approached the identification of foliar plant diseases using artificial intelligence, but in these works, classification is achieved using only one side of the leaf. Phytopathology specifies that there are diseases that show simil
Externí odkaz:
https://doaj.org/article/79c5b8718c4247e3bd443a679555fb24
Autor:
Rodica Gabriela Dawod, Ciprian Dobre
Publikováno v:
Sustainability; Volume 14; Issue 18; Pages: 11312
Obtaining a high accuracy in the classification of plant diseases using digital methods is limited by the diversity of conditions in nature. Previous studies have shown that classification of diseases made with images of lesions caused by diseases is
Autor:
Ciprian Dobre, Rodica Gabriela Dawod
Publikováno v:
CSCS
Sunflower is an economically important crop which provides a significant source of vegetable oil for human consumption and industrial use. It is the third largest producing oilseed in the world, after soybean and rapeseed. More than half of world cul
Autor:
Dawod, Rodica Gabriela1 (AUTHOR) ciprian.dobre@upb.ro, Dobre, Ciprian1,2 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2022, Vol. 22 Issue 7, p2696. 14p.
Autor:
Dawod, Rodica Gabriela, Dobre, Ciprian
Publikováno v:
Sustainability (2071-1050); Sep2022, Vol. 14 Issue 18, p11312-N.PAG, 16p