Article

Seed-per-pod estimation for plant breeding using deep learning

2018-07-01

Abstract excerpt

Commercial and scientific plant breeding programs require the phenotyping of large populations. Phenotyping is typically a manual task (costly, time-consuming and sometimes arbitrary). The use of computer vision techniques is a potential solution to some of these specific tasks. In the last years, Deep Learning, and in particular Convolutional Neural Networks (CNNs), have shown a number of advantages over traditio...

Topics

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

Identifiers and source

Literature Corpus work: fa257034-d327-506c-a759-ce5a84e39515
DOI: 10.1016/j.compag.2018.04.024

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Seed-per-pod estimation for plant breeding using deep learningDOI 10.1016/j.compag.2018.04.024Read

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

DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis.Semantic proximity Read

Deep learning-based seed variety classification: a case study in maize.Semantic 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

High-throughput image-based plant stand count estimation using convolutional neural networks.Semantic proximity Read

Deep Learning in Image-Based Plant Phenotyping.Semantic proximity Read

B2-GraftingNet: A Hybrid Deep-Machine Learning Framework with Explainable AI for Automated Grape Leaf Disease DetectionSemantic proximity Read

High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat.Semantic proximity Read

Automation of Leaf Counting in Maize and Sorghum Using Deep LearningSemantic proximity Read

SoyDNGP: A Web-Accessible Deep Learning Framework for Genomic Prediction in Soybean BreedingSemantic proximity Read

High-throughput measurement of plant fitness traits with an object detection method using Faster R-CNN.Semantic proximity Read

Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting.Semantic proximity Read