Cargando…
An extensive dataset for successful recognition of fresh and rotten fruits
Detection of rotten fruits is very crucial for agricultural productions and fruit processing as well as packaging industries. Usually, the detection of fresh and rotten fruits is done manually which is an ineffective and lengthy process for farmers. For this reason, the development of a new classifi...
Autores principales: | Sultana, Nusrat, Jahan, Musfika, Uddin, Mohammad Shorif |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469664/ https://www.ncbi.nlm.nih.gov/pubmed/36111284 http://dx.doi.org/10.1016/j.dib.2022.108552 |
Ejemplares similares
-
A dataset for successful recognition of cucumber diseases
por: Sultana, Nusrat, et al.
Publicado: (2023) -
An extensive real-world in field tomato image dataset involving maturity classification and recognition of fresh and defect tomatoes
por: Khatun, Tania, et al.
Publicado: (2023) -
An extensive sunflower dataset representation for successful identification and classification of sunflower diseases
por: Sara, Umme, et al.
Publicado: (2022) -
A dataset for assessing real-time attention levels of the students during online classes
por: Hossen, Muhammad Kamal, et al.
Publicado: (2023) -
Olfactory Specialization in Drosophila suzukii Supports an Ecological Shift in Host Preference from Rotten to Fresh Fruit
por: Keesey, Ian W., et al.
Publicado: (2015)