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Philip Shine
Philip Shine
Munster Technological University
Email confirmado em mtu.ie - Página inicial
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Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms
P Shine, MD Murphy, J Upton, T Scully
Computers and electronics in agriculture 150, 74-87, 2018
802018
Energy consumption on dairy farms: A review of monitoring, prediction modelling, and analyses
P Shine, J Upton, P Sefeedpari, MD Murphy
Energies 13 (5), 1288, 2020
662020
Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms
P Shine, T Scully, J Upton, MD Murphy
Computers and electronics in agriculture 148, 337-346, 2018
582018
Technical, environmental and cost-benefit assessment of manure management chain: A case study of large scale dairy farming
P Sefeedpari, T Vellinga, S Rafiee, M Sharifi, P Shine, ...
Journal of cleaner production 233, 857-868, 2019
502019
Electricity & direct water consumption on Irish pasture based dairy farms: A statistical analysis
P Shine, T Scully, J Upton, L Shalloo, MD Murphy
Applied Energy 210, 529-537, 2018
422018
Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine
P Shine, T Scully, J Upton, MD Murphy
Applied energy 250, 1110-1119, 2019
412019
Over 20 years of machine learning applications on dairy farms: A comprehensive mapping study
P Shine, MD Murphy
Sensors 22 (1), 52, 2021
242021
Integration of life cycle assessment, artificial neural networks, and metaheuristic optimization algorithms for optimization of tomato-based cropping systems in Iran
SH Pishgar-Komleh, A Akram, A Keyhani, P Sefeedpari, P Shine, ...
The International Journal of Life Cycle Assessment 25, 620-632, 2020
222020
Effect of introducing weather parameters on the accuracy of milk production forecast models
F Zhang, J Upton, L Shalloo, P Shine, MD Murphy
Information Processing in Agriculture 7 (1), 120-138, 2020
192020
Utilising grassland management and climate data for more accurate prediction of herbage mass using the rising plate meter
DJ Murphy, P Shine, BO Brien, MO Donovan, MD Murphy
Precision Agriculture 22, 1189-1216, 2021
172021
Global dairy sector: trends, prospects, and challenges
R Bhat, J Di Pasquale, FI Bánkuti, TTS Siqueira, P Shine, MD Murphy
Sustainability 14 (7), 4193, 2022
152022
A global review of monitoring, modeling, and analyses of water demand in dairy farming
P Shine, MD Murphy, J Upton
Sustainability 12 (17), 7201, 2020
132020
A Review of Milk Production Forecasting Models: Past & Future Methods
F Zhang, P Shine, J Upton, L Shaloo, MD Murphy
ResearchGate, 2018
52018
Comparing multiple linear regression and support vector machine models for predicting electricity consumption on pasture based dairy farms
P Shine, J Upton, T Scully, L Shalloo, MD Murphy
2018 ASABE Annual International Meeting, 1, 2018
42018
DSSED: decision support system for energy use in dairy production
MD Murphy, P Shine, M Breen, J Upton
32021
Energy Consumption on Dairy Farms: A Review of Monitoring, Prediction Modelling, and Analyses. Energies 2020, 13, 1288
P Shine, J Upton, P Sefeedpari, MD Murphy
3
A decision support and optimization platform for energy technology investments on dairy farms
P Shine, M Breen, J Upton, A O’Donovan, MD Murphy
2019 ASABE Annual International Meeting, 1, 2019
22019
A decision support system for energy use on dairy farms
P Shine, M Breen, J Upton, A O’Donovan, MD Murphy
Proceedings of the Precision Livestock Farming’19 Conference, 45-52, 2019
22019
Global Dairy Sector: Trends, Prospects, and Challenges. Sustainability. 2022; 14 4193
R Bhat, J Di Pasquale, FI Bánkuti, SP SiqueiraTTdS, MD Murphy
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
12022
The development of a national-level energy assessment tool for the dairy industry
P Shine, J Upton, MD Murphy
2022 ASABE Annual International Meeting, 1, 2022
12022
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