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High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks
Rice density is closely related to yield estimation, growth diagnosis, cultivated area statistics, and management and damage evaluation. Currently, rice density estimation heavily relies on manual sampling and counting, which is inefficient and inaccurate. With the prevalence of digital imagery, com...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AAAS
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706318/ https://www.ncbi.nlm.nih.gov/pubmed/33313541 http://dx.doi.org/10.34133/2020/1375957 |