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Simon Pearson
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2020 – today
- 2024
- [j15]Aristotelis C. Tagarakis, Lefteris Benos, George Kyriakarakos, Simon Pearson, Claus Grøn Sørensen, Dionysis Bochtis:
Digital Twins in Agriculture and Forestry: A Review. Sensors 24(10): 3117 (2024) - [i8]Usman A. Zahidi, Arshad Khan, Tsvetan Zhivkov, Johann Dichtl, Dom Li, Soran Parsa, Marc Hanheide, Grzegorz Cielniak, Elizabeth I. Sklar, Simon Pearson, Amir Ghalamzan:
Optimising robotic operation speed with edge computing over 5G networks: Insights from selective harvesting robots. CoRR abs/2407.01792 (2024) - 2023
- [j14]R. J. Hall, H.-L. Wei, Simon Pearson, Y. Ma, Shibo Fang, Edward Hanna:
Complex systems modelling of UK winter wheat yield. Comput. Electron. Agric. 209: 107855 (2023) - [j13]Lefteris Benos, Vasileios Moysiadis, Dimitrios Kateris, Aristotelis C. Tagarakis, Patrizia Busato, Simon Pearson, Dionysis Bochtis:
Human-Robot Interaction in Agriculture: A Systematic Review. Sensors 23(15): 6776 (2023) - 2022
- [j12]Chao Qi, Junfeng Gao, Simon Pearson, Helen Harman, Kunjie Chen, Lei Shu:
Tea chrysanthemum detection under unstructured environments using the TC-YOLO model. Expert Syst. Appl. 193: 116473 (2022) - 2021
- [j11]Fan Yang, Lei Shu, Yuli Yang, Guangjie Han, Simon Pearson, Kailiang Li:
Optimal Deployment of Solar Insecticidal Lamps Over Constrained Locations in Mixed-Crop Farmlands. IEEE Internet Things J. 8(16): 13095-13114 (2021) - [j10]Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson:
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth. Inf. Sci. 560: 35-50 (2021) - [j9]Naomi Jacobs, Steve Brewer, Peter J. Craigon, Jeremy G. Frey, Anabel Gutierrez Mendoza, Samantha Kanza, Louise Manning, Samuel Adam Munday, Simon Pearson, Justin Sacks:
Considering the ethical implications of digital collaboration in the Food Sector. Patterns 2(11): 100335 (2021) - [j8]Athanasios Anagnostis, Aristotelis C. Tagarakis, Dimitrios Kateris, Vasileios Moysiadis, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis:
Orchard Mapping with Deep Learning Semantic Segmentation. Sensors 21(11): 3813 (2021) - [j7]Liyun Gong, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, Simon Pearson:
Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN. Sensors 21(13): 4537 (2021) - [i7]Chao Qi, Junfeng Gao, Simon Pearson, Helen Harman, Kunjie Chen, Lei Shu:
Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model. CoRR abs/2111.02724 (2021) - 2020
- [j6]Kai Huang, Lei Shu, Kailiang Li, Fan Yang, Guangjie Han, Xiaochan Wang, Simon Pearson:
Photovoltaic Agricultural Internet of Things Towards Realizing the Next Generation of Smart Farming. IEEE Access 8: 76300-76312 (2020) - [j5]Jaime Pulido Fentanes, Amir Badiee, Tom Duckett, Jonathan Evans, Simon Pearson, Grzegorz Cielniak:
Kriging-based robotic exploration for soil moisture mapping using a cosmic-ray sensor. J. Field Robotics 37(1): 122-136 (2020) - [i6]Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson:
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. CoRR abs/2012.04041 (2020)
2010 – 2019
- 2019
- [j4]George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis:
Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems. Comput. Ind. 113 (2019) - [c5]Khaled Elgeneidy, Peter Lightbody, Simon Pearson, Gerhard Neumann:
Characterising 3D-printed Soft Fin Ray Robotic Fingers with Layer Jamming Capability for Delicate Grasping. RoboSoft 2019: 143-148 - [i5]George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis:
Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems. CoRR abs/1906.01600 (2019) - [i4]Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos D. Kollias:
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. CoRR abs/1907.00624 (2019) - 2018
- [j3]Jaime Pulido Fentanes, Iain Gould, Tom Duckett, Simon Pearson, Grzegorz Cielniak:
3-D Soil Compaction Mapping Through Kriging-Based Exploration With a Mobile Robot. IEEE Robotics Autom. Lett. 3(4): 3066-3072 (2018) - [j2]Konstantinos Liakos, Patrizia Busato, Dimitrios Moshou, Simon Pearson, Dionysis Bochtis:
Machine Learning in Agriculture: A Review. Sensors 18(8): 2674 (2018) - [c4]Khaled Elgeneidy, Gerhard Neumann, Simon Pearson, Michael R. Jackson, Niels Lohse:
Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors. IROS 2018: 498-503 - [c3]Pengcheng Liu, Gerhard Neumann, Qinbing Fu, Simon Pearson, Hongnian Yu:
Energy-Efficient Design and Control of a Vibro-Driven Robot. IROS 2018: 1464-1469 - [i3]Jaime Pulido Fentanes, Iain Gould, Tom Duckett, Simon Pearson, Grzegorz Cielniak:
3D Soil Compaction Mapping through Kriging-based Exploration with a Mobile Robot. CoRR abs/1803.08069 (2018) - [i2]Tom Duckett, Simon Pearson, Simon Blackmore, Bruce Grieve:
Agricultural Robotics: The Future of Robotic Agriculture. CoRR abs/1806.06762 (2018) - [i1]Jaime Pulido Fentanes, Amir Badiee, Tom Duckett, Jonathan Evans, Simon Pearson, Grzegorz Cielniak:
Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a Cosmic-Ray Sensor. CoRR abs/1811.05384 (2018) - 2017
- [j1]Keerthy Kusumam, Tomás Krajník, Simon Pearson, Tom Duckett, Grzegorz Cielniak:
3D-vision based detection, localization, and sizing of broccoli heads in the field. J. Field Robotics 34(8): 1505-1518 (2017) - [c2]Andrey Postnikov, Argyrios C. Zolotas, Chris Bingham, Ibrahim M. Saleh, Corneliu T. C. Arsene, Simon Pearson, Ronald Bickerton:
Modelling of Thermostatically Controlled Loads to Analyse the Potential of Delivering FFR DSR with a Large Network of Compressor Packs. EMS 2017: 163-167 - 2016
- [c1]Keerthy Kusumam, Tomás Krajník, Simon Pearson, Grzegorz Cielniak, Tom Duckett:
Can you pick a broccoli? 3D-vision based detection and localisation of broccoli heads in the field. IROS 2016: 646-651
Coauthor Index
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