ImHD
Artificial Intelligence Based Machine Learning Algorithms for Height Diameter Relationships of Conifer Trees
Estimating height of forest plant is one of the key challenges of recent times. This package will help to fit and validate AI (Artificial Intelligence) based machine learning algorithms for estimation of height of conifer trees based on diameter at breast height as explanatory variable using algorithm of Paul et al. (2022) doi:10.1371/journal.pone.0270553..
- Version0.1.0
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?No
- Last release09/12/2023
Team
Dr. M. Iqbal Jeelani
Dr. Md Yeasin
Show author detailsRolesAuthorDr. Fehim Jeelani
Show author detailsRolesAuthorDr. Shakeel Ahmad Mir
Show author detailsRolesAuthorDr. Syed Naseem Geelani
Show author detailsRolesAuthorDr. Mushtaq Ahmad Lone
Show author detailsRolesAuthorDr. Asif Ali
Show author detailsRolesAuthorDr. Tahir Mushtaq
Show author detailsRolesAuthorDr. Amir Bhat
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 192 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,990 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 07, 2024 with 33 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports6 packages