Please use this identifier to cite or link to this item:
http://hdl.handle.net/2067/46912
Title: | Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis | Authors: | Nakhle, Farid Harfouche, Antoine L |
Journal: | PATTERNS | Issue Date: | 2021 | Abstract: | High-throughput image-based technologies are now widely used in the rapidly developing field of digital phenomics and are generating ever-increasing amounts and diversity of data. Artificial intelligence (AI) is becoming a game changer in turning the vast seas of data into valuable predictions and insights. However, this requires specialized programming skills and an in-depth understanding of machine learning, deep learning, and ensemble learning algorithms. Here, we attempt to methodically review the usage of different tools, technologies, and services available to the phenomics data community and show how they can be applied to selected problems in explainable AI-based image analysis. This tutorial provides practical and useful resources for novices and experts to harness the potential of the phenomic data in explainable AI-led breeding programs. |
URI: | http://hdl.handle.net/2067/46912 | ISSN: | 2666-3899 | DOI: | 10.1016/j.patter.2021.100323 |
Appears in Collections: | A1. Articolo in rivista |
Files in This Item:
File | Description | Size | Format | Existing users please |
---|---|---|---|---|
1-s2.0-S2666389921001719-main.pdf | 3.33 MB | Adobe PDF | Request a copy |
SCOPUSTM
Citations
20
23
Last Week
0
0
Last month
3
3
checked on Dec 4, 2024
Page view(s)
117
Last Week
0
0
Last month
0
0
checked on Dec 7, 2024
Download(s)
2
checked on Dec 7, 2024
Google ScholarTM
Check
Altmetric
All documents in the "Unitus Open Access" community are published as open access.
All documents in the community "Prodotti della Ricerca" are restricted access unless otherwise indicated for specific documents