Alexis Pang

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University of Melbourne

Australia

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Recent Grants

Grant: Close

Authentic Learning Designs for Landscape Analysis: Evaluating FlexAP innovations for Natural Environments (ENVS10001)

Open Date: 2023-02-01

Close Date: 2023-09-01

Grant: Close

Quantifying Mineralisation and Biological Status from Organic Amendments and Soil

Open Date: 2022-03-01

Close Date: 2023-12-01

Grant: Close

Learning and Teaching Initiatives Grants 2022 Round 1: Blended Synchronous Learning

Open Date: 2022-02-01

Close Date:

Grant: Close

Learning and Teaching Initiatives Grants 2021 R2

Open Date: 2021-03-01

Close Date: 2021-12-01

Grant: Close

Climate resilient lentil - Silicon (Si) mediated drought stress tolerance in lentil

Open Date: 2019-02-01

Close Date: 2019-11-01

Articles (13)

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (6)

Dorin Gupta

Senior Lecturer level C

University of Melbourne Faculty of Veterinary and Agricultural Sciences

AUSTRALIA

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Graham Brodie

James Cook University

AUSTRALIA

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Christopher Barnes

University of Melbourne

AUSTRALIA

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Pangzhen Zhang

Senior Lecturer

University of Melbourne

AUSTRALIA

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Vasiliki Summerson

University of Melbourne

AUSTRALIA

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Sigfredo Fuentes

Associate Professor

University of Melbourne

AUSTRALIA

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Alexis Pang

Research Interests

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Contact this professor

Recent Grants

Articles (13)

Biofortification of kale microgreens with selenate-selenium using two delivery methods: Selenium-rich soilless medium and foliar application

The Influences of Rootstock on the Performance of Pinot Noir (Vitis vinifera L.): Phenological Progress, Physiological Performance, and Petiole Nutrient Status

Review of technology advances to assess rice quality traits and consumer perception

Wine quality assessment for Shiraz vertical vintages based on digital technologies and machine learning modeling.

Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning

Rapid Assessment of Rice Quality Traits Using Low-Cost Digital Technologies

Evaluation of Random Forests (RF) for Regional and Local-Scale Wheat Yield Prediction in Southeast Australia

Microwave Soil Treatment along with Biochar Application Alleviates Arsenic Phytotoxicity and Reduces Rice Grain Arsenic Concentration

Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling

Digital Smoke Taint Detection in Pinot Grigio Wines Using an E-Nose and Machine Learning Algorithms Following Treatment with Activated Carbon and a Cleaving Enzyme

Review of the Effects of Grapevine Smoke Exposure and Technologies to Assess Smoke Contamination and Taint in Grapes and Wine

Optimizing Sensor-Based Irrigation Management in a Soilless Vertical Farm for Growing Microgreens

Collaborators (6)

Dorin Gupta

Graham Brodie

Christopher Barnes

Pangzhen Zhang

Vasiliki Summerson

Sigfredo Fuentes

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