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Dataset for "Low-Cost, Multi-Sensor Non-Destructive Banana Ripeness Estimation Using Machine Learning"
Kristian Callaghan
(Creator)
Uriel Martinez Hernandez
(Creator)
Department of Electronic & Electrical Engineering
UKRI CDT in Accountable, Responsible and Transparent AI
Electronics Materials, Circuits & Systems Research Unit (EMaCS)
Centre for Digital, Manufacturing & Design (dMaDe)
Bath Institute for the Augmented Human
Centre for Bioengineering & Biomedical Technologies (CBio)
IAAPS: Propulsion and Mobility
Institute of Sustainability and Climate Change
Dataset
Overview
Research output
(1)
Projects
(1)
Research output
Research output per year
2025
2025
2025
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2025
Low-Cost, Multi-Sensor Non-Destructive Banana Ripeness Estimation Using Machine Learning
Callaghan, K. M. S.
&
Martinez Hernandez, U.
,
16 Jan 2025
, (E-pub ahead of print)
In:
IEEE Sensors Journal.
10 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
Destructive Method
100%
Random Forest
100%
Learning System
100%
multi sensor
100%
Random Decision Forest
100%