Carlos Hernandez

Ms.Sc. Student - Department of Agronomy

Kansas State University

Biography

Carlos Hernández is an Ms Student and Graduate Research Assistant at the Ciampitti Lab of the Department of Agronomy at Kansas State University. He focused on applying and developing technology in agriculture to improve processes and increase productive efficiency.

My beginnings were marked by a strong background in Precision Ag, developing field trials analysis and variable management of inputs such as fertilizers and density, in crops such as corn and soybeans.

In recent years I have been using concepts of crop science, remote sensing, data science, crop modeling, big data and machine learning with the aim of creating models in predictive agriculture approaches, which serve as a tool in decision making for producers and stackholders.

Interests

• Remote Sensing
• Machine Learning
• Data science applied to agriculture
• Crop Modelling
• Big Data
• Spatial Statistics

Education

• Graduate Research Assistant - Ms Student, 2021 - Present

  Kansas State University

• Agricultural Engineering, 2019

  Universidad Nacional de Rio Cuarto

Skills

R

90%

Python

90%

Statistics

70%

Crop Modelling

70%

Github

70%

Remote Sensing

90%

Data Science

70%

Ubuntu

80%

Professional Experience

 

 

 

 

 

Ms Student - Graduate Research Assistant

Kansas State University

January 2024 – Present Kansas

Responsibilities include:

• Data analysis
• Crop Modelling
• Technology Development

 

 

 

 

 

Research Associate

Kansas State University

January 2021 – December 2023 Kansas

Responsibilities include:

• Analysing
• Modelling
• Deploying

 

 

 

 

 

Precision Ag advisor - South of Santa Fe and Cordoba

Servicios Tecnologicos AGD

September 2019 – December 2020 La Carlota, Córdoba, Argentina.

Responsibilities include:

• Analysing
• Modelling
• Deploying

 

 

 

 

 

Remote Sensing and GIS Developer

Mi Lote - Corteva Agriscience

January 2019 – September 2019 Remote

Responsibilities include:

• Algorithm development
• Remote Sensing and GIS Analyst
• Backend deployment

 

 

 

 

 

Earth and Ag Data Scientist

Dymaxion Lab

April 2019 – October 2018 Remote

Responsibilities include:

• Algorithm development
• Remote Sensing and GIS Analyst
• Agtech and Spatial Data Science consultant

 

 

 

 

 

GIS and PrecisionAg Analyst

AgronomyTech

September 2019 – December 2018 Rio Cuarto, Córdoba, Argentina.

Responsibilities include:

• Precision Ag consultant
• GIS Analyst
• Variable rate technology

 

 

 

 

 

Assistant Student at Cereal Production team

January 2021 – Present Rio Cuarto, Cordoba, Argentina

Responsibilities include:

• Analysing
• Modelling
• Deploying

 

 

 

 

 

Assistant Student at Soil-Plant Relations

January 2021 – Present Rio Cuarto, Cordoba, Argentina

Responsibilities include:

• pH and Saline soil teaching
• Crop modelling theory
• Plant Nutrient and Soil Fertility

Accomplishments

Neural Networks and Deep Learning

Coursera Jan 2021

See certificate

Blockchain Fundamentals

edX Jan 2021

Formulated informed blockchain models, hypotheses, and use cases.

See certificate

Object-Oriented Programming in R

DataCamp Jul 2020 – Dec 2020

See certificate

Recent Posts

Last updated on Nov 12, 2023 0 min read

Comparison between spatial regression methods

Comparison library(agridat) library(sf) ## Linking to GEOS 3.11.2, GDAL 3.6.2, PROJ 9.2.0; sf_use_s2() is TRUE library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.2 ✔ readr 2.

Last updated on Oct 29, 2023 3 min read

Management zones delineation using spatial layers and R

library(sf) library(spdep) library(raster) }}index_files/figure-html/unnamed-chunk-2-1.png" width=“672” />

Last updated on May 21, 2023 1 min read PrecisionAg

Spatial data modelling

Solucion de problemas library(ggplot2) theme_set(theme_bw()) # pre-set the bw theme. data("midwest", package = "ggplot2") # midwest <- read.csv("http://goo.gl/G1K41K") # bkup data source # Scatterplot gg <- ggplot(midwest, aes(x=area, y=poptotal)) + geom_point(aes(col=state, size=popdensity)) + geom_smooth(method="loess", se=F) + xlim(c(0, 0.

Last updated on May 16, 2023 1 min read

Spatial data modelling 2

Esto es un ejemplo library(ggplot2) data(mpg, package="ggplot2") # mpg <- read.csv("http://goo.gl/uEeRGu") # Scatterplot theme_set(theme_bw()) # pre-set the bw theme. g <- ggplot(mpg, aes(cty, hwy)) g + geom_count(col="tomato3", show.legend=F) + labs(subtitle="mpg: city vs highway mileage", y="hwy", x="cty", title="Counts Plot")

Last updated on May 16, 2023 1 min read

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Projects

*

All Machine Learning Spatial data Remote Sensing

Example Project

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External Project

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Gallery

Featured Publications

Carlos Hernandez, Robert Ford

July, 2013 In ICW

An example conference paper

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PDF Cite Code Dataset Project Slides Video Source Document

Recent Publications

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Carlos Hernandez (2019). An example preprint / working paper.

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Carlos Hernandez, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

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Recent & Upcoming Talks

Example Talk

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Jun 1, 2030 1:00 PM — 3:00 PM Wowchemy HQ

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Popular Topics

Academic Deep Learning Demo plot R Markdown regression Source Themes 开源

Contact

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• carlosh92@ksu.edu
• Claflin Rd 1712 - Department of Agronomy, Manhattan, KS 66503
• 3009D - Throckmorton Hall - Plant Science Center
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