Amaranthus Viridis leaves
Donated on 7/23/2025
The Amaranthus Viridis crop has been grown at London South Bank University, and different machine learning models have been used to evaluate the crop dataset. Artificial intelligence models have been used to analyse the Amaranthus Viridis Leaves image dataset comprehensively. The Convolutional Neural Network (CNN) model has been used to determine the percentage of the predicted Amaranthus leaves that match the original images from a hydroponic smart farm. The CNN forecasted a higher accuracy than the K-Nearest Neighbour, Support Vector classifier and Decision Tree model.
Dataset Characteristics
Image
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Categorical
# Instances
12
# Features
2
Dataset Information
Has Missing Values?
No
Introductory Paper
By Godwin Idoje, Tasos Dagiuklas, Muddesar Iqbal. 2025
Published in Computers and Electronics in Agriculture Journal, Volume 231
Dataset Files
| File | Size |
|---|---|
| Amaranthus viridis_images.zip | 44.4 MB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset amaranthus_viridis_leaves = fetch_ucirepo(id=1192) # data (as pandas dataframes) X = amaranthus_viridis_leaves.data.features y = amaranthus_viridis_leaves.data.targets # metadata print(amaranthus_viridis_leaves.metadata) # variable information print(amaranthus_viridis_leaves.variables)
Idoje, D. (2025). Amaranthus Viridis leaves [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5261Z.
Creators
Dr Godwin Idoje
igoneal@yahoo.co.uk
London South Bank University
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.