Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset
Fusarium head blight, caused by Fusarium spp., is a destructive disease of wheat
worldwide. Fusarium damaged kernels (FDKs) significantly reduce grain yield and quality …
worldwide. Fusarium damaged kernels (FDKs) significantly reduce grain yield and quality …
Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation
A Ghanbari, GH Shirdel, F Maleki - Algorithms, 2024 - mdpi.com
Precision agriculture involves the application of advanced technologies to improve
agricultural productivity, efficiency, and profitability while minimizing waste and …
agricultural productivity, efficiency, and profitability while minimizing waste and …
Contrastive Learning vs. Self-Learning vs. Deformable Data Augmentation in Semantic Segmentation of Medical Images
To develop a robust segmentation model, encoding the underlying features/structures of the
input data is essential to discriminate the target structure from the background. To enrich the …
input data is essential to discriminate the target structure from the background. To enrich the …
Modified CycleGAN for the synthesization of samples for wheat head segmentation
Deep learning models have been used for a variety of image processing tasks. However,
most of these models are developed through supervised learning approaches, which rely …
most of these models are developed through supervised learning approaches, which rely …
Enhancing Plant Identification: Exploring Deep Learning for Herbarium Specimen Classification
Herbarium specimen is a preserved plant specimen collected from the wild or cultivated
sources that is carefully mounted, dried, and stored for scientific purposes. It is necessary to …
sources that is carefully mounted, dried, and stored for scientific purposes. It is necessary to …