title: Barlow Twins for semi-supervised learning in NIR spectroscopy

authors: Wohlers, Mark W.

subjects: Barlow Twins

abstract: Near-infrared (NIR) spectroscopy is a widely used technology in the horticulture industry for non-destructive fruit grading. Partial Least Squares (PLS) regression is the dominant method for producing fruit quality predictions from measured spectra. Alternative deep learning methods have shown promise, but often require large amounts of labelled data to train. This study proposes a semi-supervised method based on Barlow Twins to include unlabelled data in the training process. We adopt the Barlow Twins method by using repeated measurements on the same fruit from different devices as different “views” to encode into the same latent space and combine the encoder network with a regression head for prediction. Our approach demonstrates improved performance over PLS with up to 17% lower RMSE, especially when the labelled data is limited. The Barlow loss function also improves calibration transfer results.

text: Barlow Twins for semi-supervised learning in NIR spectroscopy Near-infrared (NIR) spectroscopy is a widely used technology in the horticulture industry for non-destructive fruit grading. Partial Least Squares (PLS) regression is the dominant method for producing fruit quality predictions from measured spectra. Alternative deep learning methods have shown promise, but often require large amounts of labelled data to train. This study proposes a semi-supervised method based on Barlow Twins to include unlabelled data in the training process. We adopt the Barlow Twins method by using repeated measurements on the same fruit from different devices as different “views” to encode into the same latent space and combine the encoder network with a regression head for prediction. Our approach demonstrates improved performance over PLS with up to 17% lower RMSE, especially when the labelled data is limited. The Barlow loss function also improves calibration transfer results.

year: 2026-02-15

title: Community outcome processes as a forum for community governance

authors: Leonard, Lorraine

subjects: New Zealand

abstract: Research for this report is part of a project on evaluating the quality of planning and governance
under the Local Government Act 2002 (LGA). This is the first of two complementary reports aiming to develop and
test a methodology for evaluating the LGA community outcomes processes and the related
monitoring and reporting frameworks and apply it to selected councils. This report focuses on
interrogation of community outcome processes facilitated by local authorities as a forum for
community governance. Out of this study we have developed a generic framework for
deliberative engagement.

text: Community outcome processes as a forum for community governance Research for this report is part of a project on evaluating the quality of planning and governance
under the Local Government Act 2002 (LGA). This is the first of two complementary reports aiming to develop and
test a methodology for evaluating the LGA community outcomes processes and the related
monitoring and reporting frameworks and apply it to selected councils. This report focuses on
interrogation of community outcome processes facilitated by local authorities as a forum for
community governance. Out of this study we have developed a generic framework for
deliberative engagement.

year: 2008-01

title: Ōpōtiki Mai Tawhiti

authors: Maxwell, Te Kahautu

abstract: Ōpōtiki Mai Tawhiti competed at the Mātaatua Regional Kapa Haka Competition 2014 to qualify for the Te Matatini World Championship Kapa Haka Competition 2015, Christchurch. Ōpōtiki Mai Tawhiti placed first overall, 1st mōteatea, 1st, Haka, 1st Whakawātea, 1st Female Leader, 1st Male Leader, 1st Waiata Tira, 1st Te Reo, 1st Original Composition, 1st Costume, 2nd Waiata a Ringa, 2nd, Poi, 2nd Whakaeke.

text: Ōpōtiki Mai Tawhiti Ōpōtiki Mai Tawhiti competed at the Mātaatua Regional Kapa Haka Competition 2014 to qualify for the Te Matatini World Championship Kapa Haka Competition 2015, Christchurch. Ōpōtiki Mai Tawhiti placed first overall, 1st mōteatea, 1st, Haka, 1st Whakawātea, 1st Female Leader, 1st Male Leader, 1st Waiata Tira, 1st Te Reo, 1st Original Composition, 1st Costume, 2nd Waiata a Ringa, 2nd, Poi, 2nd Whakaeke.

year: 2014-02-22