Article

Applying YOLO-V8 and X-ray Morphology Analysis to Assess the Vigor of Brachiaria brizantha cv. Xaraés Seeds

2024-01-11

Abstract excerpt

Agricultural crops productivity is heavily influenced by the strength of their seeds. Current methods for testing seed vigor, such as the germination rate and tetrazolium test, rely on time-consuming human visual inspections. Computer Vision, a crucial technology in smart production processes, offers an automated alternative and is increasingly applied in digital agriculture processes. Here we propose a method tha...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0eaceaf0-3805-57ad-ad50-0ae7fadf3ca0
DOI: 10.20944/preprints202401.0931.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Applying YOLO-V8 and X-ray Morphology Analysis to Assess the Vigor of Brachiaria brizantha cv. Xaraés SeedsDOI 10.20944/preprints202401.0931.v1Read

Evaluation of 3D seed structure and cellular traits in-situ using X-ray microscopy.Semantic proximity Read

High-Throughput Extraction of Seed Traits Using Image Acquisition and Analysis.Semantic proximity Read

Samplify: a versatile tool for image-based segmentation and annotation of seed abortion phenotypes.Semantic proximity Read

Pollen Germination as a High-Throughput Phenotyping Tool for Assessing Heat Tolerance in SoybeanSemantic proximity Read

MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping.Semantic proximity Read

Groundnut (ARACHIS HYPOGAEA L.) Seed Defect Classification Using Ensemble Deep Learning TechniquesSemantic proximity Read

SeedGerm-VIG: an open and comprehensive pipeline to quantify seed vigor in wheat and other cereal crops using deep learning-powered dynamic phenotypic analysis.Semantic proximity Read

Identification of the cultivars of the wheat crop from their seed images using deep learning: convolutional neural networksSemantic proximity Read

Predictive models for phenotyping and classification of wheat cultivar viability.Semantic proximity Read

Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds.Semantic proximity Read

SmartGrain: high-throughput phenotyping software for measuring seed shape through image analysis.Semantic proximity Read

Non-destructive detection strategy of maize seed vigor based on seed phenotyping and the potential for accelerating breeding.Semantic proximity Read