Multimodal Performers for Genomic Selection and Crop Yield Prediction

1 code implementation • Smart Agricultural Technology 2021 • Håkon Måløy, Susanne Windju, Stein Bergersen, Muath Alsheikh, Keith L. Downing

We show that the performer-based models significantly outperform the traditional approaches, achieving an R score of 0. 820 and a root mean squared error of 69. 05, compared to 0. 807 and 71. 63, and 0. 076 and 149. 78 for the best traditional neural network and traditional Bayesian approach respectively.

Crop Yield Prediction

EchoBERT: A Transformer-Based Approach for Behavior Detection in Echograms

1 code implementation • IEEE Access 2020 • Håkon Måløy

We therefore introduce EchoBERT - Echo Bidirectional Encoder Representation Transformer, a transformer-based approach for behavior detection in farmed Atlantic salmon (Salmo salar, Salmonidae), using the spatiotemporal properties contained in echograms.

FishNet: A Unified Embedding for Salmon Recognition

no code implementations • 20 Oct 2020 • Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom

In this paper we propose FishNet, based on a deep learning technique that has been successfully used for identifying humans, to identify salmon. We create a dataset of labeled fish images and then test the performance of the FishNet architecture.