Cargando…
Feature enhancement guided network for yield estimation of high-density jujube
BACKGROUND: Automatic and precise jujube yield prediction is important for the management of orchards and the allocation of resources. Traditional yield prediction techniques are based on object detection, which predicts a box to achieve target statistics, but are often used in sparse target setting...
Autores principales: | Cheng, Fengna, Wei, Juntao, Jiang, Shengqin, Chen, Qing, Ru, Yu, Zhou, Hongping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10429078/ https://www.ncbi.nlm.nih.gov/pubmed/37587465 http://dx.doi.org/10.1186/s13007-023-01066-2 |
Ejemplares similares
-
Ultrasonic and microwave treatment improved jujube juice yield
por: Yu, Youwei, et al.
Publicado: (2020) -
JujubeNet: A high-precision lightweight jujube surface defect classification network with an attention mechanism
por: Jiang, Lingjie, et al.
Publicado: (2023) -
Density estimation and adaptive bandwidths: A primer for public health practitioners
por: Carlos, Heather A, et al.
Publicado: (2010) -
Circular Estimate Method (CEM) - a Simple Method to Estimate Caenorhabditis elegans Culture Densities in Liquid Medium
por: Josende, Marcelo Estrella, et al.
Publicado: (2019) -
Iterative feature removal yields highly discriminative pathways
por: O’Hara, Stephen, et al.
Publicado: (2013)