Cargando…
Automatic estimation of heading date of paddy rice using deep learning
BACKGROUND: Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location. The heading date also plays a vital role in determining grain yield for research experiments. Visual examination of the crop is lab...
Autores principales: | Desai, Sai Vikas, Balasubramanian, Vineeth N., Fukatsu, Tokihiro, Ninomiya, Seishi, Guo, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6626381/ https://www.ncbi.nlm.nih.gov/pubmed/31338116 http://dx.doi.org/10.1186/s13007-019-0457-1 |
Ejemplares similares
-
Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images
por: Guo, Wei, et al.
Publicado: (2015) -
Active learning with point supervision for cost-effective panicle detection in cereal crops
por: Chandra, Akshay L., et al.
Publicado: (2020) -
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?
por: Rawat, Shivangana, et al.
Publicado: (2022) -
Simulation of future global warming scenarios in rice paddies with an open-field warming facility
por: Rehmani, Muhammad Ishaq Asif, et al.
Publicado: (2011) -
EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions
por: Guo, Wei, et al.
Publicado: (2017)