Dataset of "Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network" paper
Authors/Creators
Description
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.
https://doi.org/10.3390/rs13132496
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
authority-the Phenomics consortium, and the Ministry of Science & Technology, Israel.
Files
Restricted
The record is publicly accessible, but files are restricted. <a href="https://zenodo.org/account/settings/login?next=https://zenodo.org/records/8083872">Log in</a> to check if you have access.
Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
The datasets related to wheat and banana are not public since it belongs to the Israel Phenomics consortium.
Access will be given only with special authorization.
You are currently not logged in. Do you have an account? Log in here