Dataset of "Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network" paper

Name: Dataset of "Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network" paper
Creator: Zenodo
Published: 2023-06-26T20:56:02+08:00

Zenodo2023-06-26 更新2026-05-26 收录

农业图像表型分析

植物部件计数

数据链接：

https://zenodo.org/record/8083871 数据链接链接失效反馈

官方服务：

资源简介：

This includes the relevant datasets to: Khoroshevsky, F., Khoroshevsky, S., & Bar-Hillel, A. (2021). Parts-per-object count in agricultural images: Solving phenotyping problems via a single deep neural network. Remote Sens. 13(13), 2496.<br> https://doi.org/10.3390/rs13132496<br> Datasets related to wheat and banana are not public since it belongs to the Israel Phenomics consortium. This research was funded by the Generic technological R&D program of the Israel innovation<br> authority-the Phenomics consortium, and the Ministry of Science & Technology, Israel.

提供机构：

Zenodo

创建时间：

2023-06-26