Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lucas M. Tassis"'
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 1, Pp 38-47 (2022)
In recent years, deep learning methods have been introduced for segmentation and classification of leaf lesions caused by pests and pathogens. Among the commonly used approaches, convolutional neural networks have provided results with high accuracy.
Externí odkaz:
https://doaj.org/article/bab31167c23d494b92127ff12c0b8697
Autor:
Lucas M. Tassis, Renato A. Krohling
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 55-67 (2022)
In the last few years, deep neural networks have achieved promising results in several fields. However, one of the main limitations of these methods is the need for large-scale datasets to properly generalize. Few-shot learning methods emerged as an
Externí odkaz:
https://doaj.org/article/70bd7fcc13d846788b26fe20ab13b4ea
Publikováno v:
Information Processing in Agriculture. 9:38-47
In recent years, deep learning methods have been introduced for segmentation and classification of leaf lesions caused by pests and pathogens. Among the commonly used approaches, convolutional neural networks have provided results with high accuracy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e85624fef61ea46fc35ba9d9e531e19c
https://doi.org/10.1016/j.inpa.2021.01.004
https://doi.org/10.1016/j.inpa.2021.01.004
Publikováno v:
Computers and Electronics in Agriculture. 186:106191
The automated diagnosis of pests and diseases that affect coffee crops is an important issue for coffee farmers. Conventional methods of computer vision and pattern recognition present limitations to tackle such challenging problems. However, in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::229d6e5b19c65f83cfc8bf3e469060c0
https://doi.org/10.1016/j.compag.2021.106191
https://doi.org/10.1016/j.compag.2021.106191