Search Results - "Pang, Alexis"

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Measurement and modelling of soil dielectric properties as a function of soil class and moisture content.

Authors: Kabir, Humayun Khan, Mohammad Jamal Brodie, Graham et al.

Source: Journal of Microwave Power & Electromagnetic Energy; Mar2020, Vol. 54 Issue 1, p3-18, 16p

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A hybrid machine-learning and process-based regional crop modelling framework to improve rice production strategies under data constraints.

Authors: Li, Qiang Liang, Xia Gao, Maofang et al.

Source: Computers & Electronics in Agriculture; Jul2026, Vol. 249, pN.PAG-N.PAG, 1p

Military identity and planning for the transition out of the military.

Authors: Kleykamp, Meredith Montgomery, Sidra Pang, Alexis et al.

Source: Military Psychology. Nov/Dec 2021, Vol. 33 Issue 6, p372-391. 20p.

Subjects: Socialization, Attitude (Psychology), Group identity, Transitional programs (Education), Interviewing, Qualitative research, Veterans, Military personnel, Goal (Psychology)

Water and Nitrogen Dynamics of Mungbean as a Summer Crop in Temperate Environments.

Authors: Silwal, Sachesh Delahunty, Audrey J. Wallace, Ashley J. et al.

Source: Agronomy. Jul2025, Vol. 15 Issue 7, p1711. 26p.

Total nitrogen levels as a key constraint on soil organic carbon stocks across Australian agricultural soils.

Authors: Jing, Huirong Pang, Alexis Karunaratne, Senani et al.

Source: Environmental Research; Aug2025:Part 2, Vol. 279, pN.PAG-N.PAG, 1p

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

Authors: Aznan, Aimi Gonzalez Viejo, Claudia Pang, Alexis et al.

Source: Sensors (14248220). Nov2022, Vol. 22 Issue 22, p8655. 15p.

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

Authors: Pang, Alexis Chang, Melissa W L Chen, Yang

Source: Sensors (14248220). Feb2022, Vol. 22 Issue 3, p717. 1p.

Towards a Soldier-Based View in Research on The Military: An Empathetically Critical Approach.

Authors: Molendijk, Tine Kalkman, Jori Pascal

Source: Social Sciences (2076-0760). Feb2023, Vol. 12 Issue 2, p51. 15p.

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

Authors: Aznan, Aimi Gonzalez Viejo, Claudia Pang, Alexis et al.

Source: Sensors (14248220). Oct2021, Vol. 21 Issue 19, p6354. 1p.

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

Authors: Summerson, Vasiliki Gonzalez Viejo, Claudia Pang, Alexis et al.

Source: Molecules. Aug2021, Vol. 26 Issue 16, p5108-5108. 1p.

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

Authors: Kabir, Mohammad Humayun Brodie, Graham Gupta, Dorin et al.

Source: Energies (19961073). Dec2021, Vol. 14 Issue 23, p8140. 1p.

Classification of Smoke Contaminated Cabernet Sauvignon Berries and Leaves Based on Chemical Fingerprinting and Machine Learning Algorithms.

Authors: Summerson, Vasiliki Gonzalez Viejo, Claudia Szeto, Colleen et al.

Source: Sensors (14248220). Sep2020, Vol. 20 Issue 18, p5099. 1p.

A Rice Model System for Determining Suitable Sowing and Transplanting Dates.

Authors: Wu, Yueting Qiu, Xiaolei Zhang, Ke et al.

Source: Agronomy. Apr2020, Vol. 10 Issue 4, p604. 1p.