Get started
Author

Dale Fletcher

Observed names: D. Fletcher, Dale Fletcher (15408938), Fletcher, Dale
Observed institution: University of Waikato
ORCID: 0000-0002-0455-8744
Observed ORCID: 0000-0002-0455-8744
OpenAlex ID: A5080148348
The use of data mining to assist crop protection decisions on kiwifruit in New Zealand
2014 · M.G. Hill, P.G. Connolly, et al. · Computers and Electronics in Agriculture · 60
Empower Innovations in Routine Soil Testing
2022 · Jan Adriaan Reijneveld, Martijn Jasper van Oostrum, et al. · Agronomy · 35
PDF
Improved gap filling approach and uncertainty estimation for eddy covariance N2O fluxes
2020 · J.P. Goodrich, A.M. Wall, et al. · Agricultural and Forest Meteorology · 26
An Overview of Integrating Deep Learning Methods With Close-Range Hyperspectral Imaging for Agriculture
2025 · Shah Faisal, Melanie Po-Leen Ooi, et al. · IEEE Access · 20
Interactive visualisation of a travel itinerary
2000 · Mark Apperley, Dale Fletcher, et al. · Working Conference on Advanced Visual Interfaces (AVI) · 17
PDF
An application of data mining to fruit and vegetable sample identification using Gas Chromatography-Mass Spectrometry
2012 · Geoffrey Holmes, Dale Fletcher, et al. · ScholarsArchive (Brigham Young University) · 14
Chemometric models for high-throughput biomass grading of the kelp Ecklonia radiata, using mid-infrared (MIR) and near-infrared (NIR) spectroscopy
2023 · Jacob Nepper-Davidsen, Marie Magnusson, et al. · Algal Research · 10
Uncertainty Quantification and Visualization for Optimal Decision-Making in Hyperspectral Imaging-Based Precision Agriculture [Roadmap for Measurement and Applications]
2025 · Shah Faisal, Melanie Po-Leen Ooi, et al. · IEEE Instrumentation & Measurement Magazine · 9
Breaking the copy/paste cycle: the Stretchable Selection Tool
2002 · M. Apperley, D. Fletcher, et al. · Australasian User Interface Conference · 9
A comparison of methods for estimating prediction intervals in NIR spectroscopy: Size matters
2011 · Remco R. Bouckaert, Eibe Frank, et al. · Chemometrics and Intelligent Laboratory Systems · 7
PDF
Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models
2022 · Geoff Holmes, Eibe Frank, et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 4
PDF
Predicting polycyclic aromatic hydrocarbon concentrations in soil and water samples
2010 · Geoffrey Holmes, Dale Fletcher, et al. · ScholarsArchive (Brigham Young University) · 4
PDF
Hyperspectral Imaging and Machine Learning to Identify Epicuticular Wax Loss in Masena Blueberries for Post-Harvest Freshness
2024 · Jonathan Pearse, Yaminn Thawdar, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 3
PDF
Analysing chromatographic data using data mining to monitor petroleum content in water
2009 · Geoffrey Holmes, Dale Fletcher, et al. · Environmental science and engineering · 2
PDF
The stretchable selection tool: an alternative to copy and paste
2002 · Mark Apperley, Dale Fletcher, et al. · Interacting with Computers · 2
Rethinking the Concept of Pixel Intensity Contrast From a Machine Learning Perspective
2025 · Sanush Abeysekera, Melanie Po-Leen Ooi, et al. · IEEE Sensors Letters
Proximal near-infrared hyperspectral imaging dataset for identifying epicuticular wax loss in Masena blueberries to evaluate post-harvest quality
2025 · Shah Faisal, Yaminn Thawdar, et al. · Data in Brief
Identifying Biological Fluids using Hyperspectral Near-infrared Imaging and Machine Learning for Forensics Analysis
2025 · Shah Faisal, Melanie Po-Leen Ooi, et al. · IEEE International Instrumentation and Measurement Technology Conference
Exploring prompt engineering for grapevine pruning decision making with limited data
2025 · He, Wanrui, McGuinness, Benjamin, et al. · Research Commons (University of Waikato)
PDF
Image Classification Using Class-Agnostic Object Detection
2023 · Geoffrey Holmes, Eibe Frank, et al. · IFIP advances in information and communication technology
PDF
Improved gap filling approach for N 2 O fluxes allows determination of separate annual budgets and uncertainties for two adjacent grazed pastures from one flux tower
2020 · Jordan P. Goodrich, Aaron M. Wall, et al. · AGU Fall Meeting Abstracts
Watching the wind: seismic data contamination at long-periods due to atmospheric pressure-field-induced tilting
2010 · Silvio De Angelis, Paul Bodin, et al. · AGU Fall Meeting Abstracts
Facilitating multiple copy/past operations
1999 · Mark Apperley, Jay Baker, et al. · Research Commons (University of Waikato)
Works count: 26
Citation count: 222
H-index: 9
I10-index: 7
Year
Topic
Type