Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. - Badri Narayanan 002; Mohamed Saadeldin; Paul Albert; Kevin McGuinness; Noel E. O'Connor; Brian Mac Namee (AICS, 2021)

Semi-supervised dry herbage mass estimation using automatic data and synthetic images. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Brian Mac Namee; Deirdre Hennessy; Aisling O'Connor; Noel E. O'Connor; Kevin McGuinness (ICCVW, 2021)

Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. - Badri Narayanan 002; Mohamed Saadeldin; Paul Albert; Kevin McGuinness; Brian Mac Namee (CoRR, 2021)

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Brian Mac Namee; Deirdre Hennessy; Noel E. O'Connor; Kevin McGuinness (CVPR Workshops, 2022)

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Jaime B. Fernandez; Brian Mac Namee; Deirdre Hennessy; Noel E. O'Connor; Kevin McGuinness (CoRR, 2022)

Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. - Paul Albert; Mohamed Saadeldin; Badri Narayanan 002; Brian Mac Namee; Deirdre Hennessy; Aisling H. O'Connor; Noel E. O'Connor; Kevin McGuinness (CoRR, 2022)