Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor. - Bruce Grieve; Simon Hammersley; Anne-Katrin Mahlein; Erich-Christian Oerke; Heiner E. Goldbach (SAS, 2015)

Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants. - Anne-Katrin Mahlein; Simon Hammersley; Erich-Christian Oerke; Heinz-Wilhelm Dehne; Heiner E. Goldbach; Bruce Grieve (Sensors, 2015)

Towards Spectral-Texture Approach to Hyperspectral Image Analysis for Plant Classification. - Ali AlSuwaidi; Bruce Grieve; Hujun Yin (IDEAL, 2017)

Unsupervised learning for spectral data analysis as a novel sensor for identifying rodent infestation in urban environments. - Omar Costilla-Reyes; Zachary Coldrick; Bruce Grieve (IEEE SENSORS, 2017)

Portable, in-field, multispectral imaging sensor for real-time detection of insect viral-vectors. - Bruce Grieve; Charles Veys; Jose Dingle; John Colvin; Joachim Nwezeobi (IEEE SENSORS, 2017)

Floor sensors of animal weight and gait for precision livestock farming. - John Vaughan; Peter Michael Green; Michael G. Salter; Bruce Grieve; Krikor B. Ozanyan (IEEE SENSORS, 2017)

An ultra-low-cost active multispectral crop diagnostics device. - Charles Veys; James Hibbert; Phillip Davis; Bruce Grieve (IEEE SENSORS, 2017)

Towards on-farm pig face recognition using convolutional neural networks. - Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith; Michael G. Salter; Emma M. Baxter; Marianne Farish; Bruce Grieve (Comput. Ind., 2018)

Photometric stereo for three-dimensional leaf venation extraction. - Wenhao Zhang 006; Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith; Bruce Grieve (Comput. Ind., 2018)

Agricultural Robotics: The Future of Robotic Agriculture. - Tom Duckett; Simon Pearson; Simon Blackmore; Bruce Grieve (CoRR, 2018)

Towards Phosphate Detection in Hydroponics Using Molecularly Imprinted Polymer Sensors. - Christopher S. Storer; Zachary Coldrick; Daniel J. Tate; Jack Marsden Donoghue; Bruce Grieve (Sensors, 2018)

Feature-Ensemble-Based Novelty Detection for Analyzing Plant Hyperspectral Datasets. - Ali AlSuwaidi; Bruce Grieve; Hujun Yin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Automatic Multispectral Image Classification of Plant Virus from Leaf Samples. - Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (IDEAL (1), 2020)

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding. - Lydia Elstone; Kin Yau How; Samuel Brodie; Muhammad Zulfahmi Ghazali; William Paul Heath; Bruce Grieve (Sensors, 2020)

Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data. - Tajul Miftahushudur; Bruce Grieve; Hujun Yin (IDEAL, 2021)

Recent Advances in Enzymatic and Non-Enzymatic Electrochemical Glucose Sensing. - Mohamed H. Hassan; Cian Vyas; Bruce Grieve; Paulo J. S. Bártolo (Sensors, 2021)

Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification. - Tajul Miftahushudur; Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (IDEAL, 2023)

Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification. - Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (IDEAL, 2023)

The University of Manchester (UoM) Dataset. - Ali AlSuwaidi; Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (Zenodo, 2023)

Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net. - Halil Mertkan Sahin; Tajul Miftahushudur; Bruce Grieve; Hujun Yin (Comput. Electron. Agric., 2023)

Permuted KPCA and SMOTE to Guide GAN-Based Oversampling for Imbalanced HSI Classification. - Tajul Miftahushudur; Bruce Grieve; Hujun Yin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A System Identification Approach to Modelling Chlorophyll Fluorescence Response to Dynamic Light Conditions. - Faisal S. Bala; Michael D. O'Toole; Bruce Grieve (SAS, 2025)

PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping. - Feng Chen; Ilias Stogiannidis; Andrew Wood; Danilo Bueno; Dominic Williams 004; Fraser Macfarlane; Bruce Grieve; Darren M. Wells; Jonathan A. Atkinson; Malcolm J. Hawkesford; Stephen A. Rolfe; Tracy Lawson; et al. (CoRR, 2025)