Name: Filipe Matias
Type: User
Company: Syngenta Seeds LATAM
Bio: Phenomics and Enviromics Lead at Syngenta Seeds LATAM. Interests in quantitative genetics, genomic selection, GWAS, HTP, remote sensing, image analysis, and R.
Location: Uberlandia, MG, Brazil
Filipe Matias's Projects
Be-Breeder 2.0 provides a series of functions and tools for phenotypic and molecular analyses to simulate and compare a wide range of breeding scenarios.
Adds binder to tidyverse, providing JupyterHub
Bison-Fly is the NDSU Spring Wheat UAV Pipeline developed in partnership with Drone2Phenome UAV community (D2P). In this pipeline we are presenting step by step how we have been applying UAV data on our breeding program. This is a open source R code from where anyone can use and adept for different crops. All suggestions are welcome. Help us to build this platform in partnership with Drone2Phenome community.
In this workshop, I present step-by-step how we leverage UAV data in our breeding program. This is open source R code that anyone may use and adopt for different crops and situations. The Bison-Fly tutorial is the NDSU Spring Wheat UAV Pipeline developed in partnership with Drone2Phenome (D2P). We hope this pipeline helps you with your research, and all suggestions to improve it are welcome.
cleanRfield: This package is a compilation of functions to clean and filter observations from yield monitors or other agricultural spatial point data. Yield monitors are prone to error, and filtering the observations or removing observations from near field boundaries can improve estimates of whole-field yield, combine speed, grain moisture, or other parameters. In this package, users can easily select filters thresholding for one or more traits and prepare a smaller dataset to make decisions.
This package is a compilation of functions to clean and filter observations from yield monitors or other agricultural spatial point data. Yield monitors are prone to error, and filtering the observations or removing observations from near field boundaries can improve estimates of whole-field yield, combine speed, grain moisture, or other parameters of interest. In this package, users can easily select filters for one or more traits and prepare a smaller dataset to make decisions.
Using RStudio with Binder with a custom Dockerfile
Binder to install "FIELDimageR".
This software is a compilation of functions made in R to analyze orthomosaic images from research field trials from agriculture or plant breeding experiments using QGIS.
In this workshop, we went through the basic steps of FIELDimageR-QGIS and FIELDimageR.Extra pipeline showing how to evaluate and apply remote sensing data on plant breeding experiments.
FIELDimageR Workshop Series - Example 01 : "FIELDimageR pipeline: Remote sensing applied to plant breeding"
Workshop presented for NAPB. In this course, I went through the basic steps of the FIELDimageR pipeline showing how to evaluate and apply remote sensing data in plant breeding.
Workshop presented for NDSU Breeding Pipeline Database Managers. In this course, I went through the basic steps of the FIELDimageR pipeline showing how to evaluate and apply remote sensing data in plant breeding.
FIELDimageR-Workshop-12: In this course, I went through the basic steps of FIELDimageR pipeline showing how to evaluate and apply remote sensing data and lab images in plant breeding.
FIELDimageR Workshop Series - Example 02 : "FIELDimageR: Performing image analysis in plant breeding programs"
FIELDimageR Workshop Series - Example 03 : "FIELDimageR pipeline: Image analysis applied to plant breeding"
FIELDimageR Workshop Series - Example 02 : "FIELDimageR pipeline: Image analysis applied to plant breeding"
FIELDimageR Workshop Series - Example 05 : "FIELDimageR pipeline: Image analysis applied to plant breeding"
Workshop presented at 2021 NAPPN Annual Conference. In this course, I went through the basic steps of FIELDimageR pipeline showing how to evaluate and apply remote sensing data and lab images in plant breeding.
Workshop presented for GEMS-UFSSER. In this course, I went through the basic steps of FIELDimageR pipeline showing how to evaluate and apply remote sensing data and lab images in plant breeding.
Workshop: In this course, I went through the basic steps of FIELDimageR pipeline showing how to evaluate and apply remote sensing data and lab images in plant breeding.
Workshop presented for GEMS-UFSSER. In this course, I went through the basic steps of FIELDimageR pipeline showing how to evaluate and apply remote sensing data and lab images in plant breeding.
Package with new tools to support FIELDimageR software on evaluating GIS images from agriculture field trials.
In this workshop, we went through the basic steps of FIELDimageR and FIELDimageR.Extra pipeline showing how to evaluate and apply remote sensing data and lab and field images from plant breeding experiments.
In this workshop, we went through the basic steps of FIELDimageR and FIELDimageR.Extra pipeline showing how to evaluate and apply remote sensing data and lab and field images from plant breeding experiments.
In this workshop, we went through the basic steps of FIELDimageR and FIELDimageR.Extra pipeline showing how to evaluate and apply remote sensing data and lab and field images from plant breeding experiments.