Repository for version control of the BrAPI specifications
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Updated
Nov 27, 2023 - Python
Repository for version control of the BrAPI specifications
📈🌱 Mixed Models for Agriculture in R
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
Tools and Statistical Procedures in Plant Science
Modeling of nutritional traits from multiple crops using NIRS and machine learning/statistics
📉🌱 R für Bio- und Agrarwissenschaftler
Using near-infrared spectroscopy (NIRS) and machine learning to determine oleic acid content from peanut raw grains
Diallel analysis of carrot phenotypes
Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions
Analysis of Selection Index in Plant Breeding
List of papers related to Agricultural Statistics, Plant Breeding, and Quantitative Genetics
Gradient Boosting Regression (GBR, https://github.com/scikit-learn/scikit-learn) model for genomic predictions
Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,
This repository serves to document, share, and collaborate on scripts used in the University of Arkansas fruit breeding lab.
A Breeding Api (BrAPI) implementation written in Java. Contains all data objects, client and server interfaces for all modules.
PopAllele encodes and decode the genetic distribution of alleles within populations
Data repository for the paper of the same name.
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