Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Deep Learning for the Identification and Quantification of Wheat Disease, University of East Anglia
1 Oct 2018 → 26 Jan 2023
Award Date: 1 Dec 2023
Master, Physics with Astrophysics, Northumbria University
1 Sept 2014 → 10 Jul 2018
Award Date: 10 Jul 2018
Fingerprint
Dive into the research topics where Megan Robinson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Classification of wheat diseases using deep learning networks with field and glasshouse images
Long, M., Hartley, M., Morris, R. J. & Brown, J. K. M., 1 Apr 2023, In: Plant Pathology. 72, 3, p. 536-547 12 p.Research output: Contribution to journal › Article › peer-review
Open Access45 Citations (Scopus) -
Using machine learning to identify and diagnose crop disease
Long, M., 21 Feb 2023, Advances in sensor technology for sustainable crop production. Lobsey, C. & Biswas, A. (eds.). Burleigh Dodds Science Publishing, p. 285-306 22 p. (Burleigh Dodds Series in Agricultural Science).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
A Data-Driven Approach for Fibres Recognition via Spectrophotometry
Robinson, M., Ghosh, S., Du, C., Goswami, P. & Vallati, M., 4 Dec 2025, (Accepted/In press) Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART-26). SciTePressResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Artificial Intelligence Applications: Case Studies from Challenging Domains
Bhatnagar, S., Castellanos, S., Guo, R., Percassi, F., Robinson, M. & Vallati, M., 1 Dec 2025, Renewable Energy Transition with Artificial Intelligence: Challenge-driven Solutions. Dethiefs, N. & Chatterjee, J. (eds.). Wiley, p. 157-165 9 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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A Novel Methodology for AI-based Sorting of Post-Consumer Textile Using Spectrophotometer
Robinson, M., Ghosh, S., Goswami, P. & Vallati, M., 25 Nov 2024, In: CEUR Workshop Proceedings. 3883, 8 p., 1.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Citation (Scopus)