Camilo Carromeu

Embrapa Beef Cattle

Information Technology Center

Campo Grande, MS, Brazil

I am an Information Technology Analyst at Embrapa Beef Cattle (Campo Grande, Brazil) and a collaborating professor in the Professional Master’s Program in Applied Computing at FACOM/UFMS. I hold a Ph.D. in Computer Science with research on precision livestock, and for over a decade I have been building computing solutions for the beef production chain.

Since 2021 I lead the technical design of Embrapa I/O, Embrapa’s corporate platform for developing, delivering and monitoring digital assets, recognized as a National Reference in the Brazil Digital Ozires Silva Award. I also work as solution architect on UAV remote sensing projects and on decision-support apps such as Pasto Certo, AndroLógico and Cria Certo. My current focus is generative AI applied to software engineering: coding assistants, spec-driven development and agent architectures.

What I do

Development platforms and DevOps for digital assets at corporate scale.
Digital livestock and IoT: sensors, communication and field data for beef cattle.
Decision-support apps that bring Embrapa’s knowledge to farmers, including offline.
Remote sensing and computer vision for forage phenotyping.
Software product lines and application generators, my original research topic at LEDES/UFMS.
Generative AI in software engineering and digital agriculture.

In numbers

Two patents and 19 software registrations at the Brazilian patent office (INPI), 7 journal articles, 12 co-supervised master’s theses and 68 examination committees. The full inventory is on my Lattes CV; here you will find the projects and publications that best tell the story.

Selected Publications

Cajuína

Uso do blockchain no contexto agropecuário brasileiro: impactos, desafios e oportunidades

Lucas Campos de Magalhães Nunes, Camilo Carromeu, Ivan Bergier Tavares de Lima, and 5 more authors

Cadernos Cajuína, 2025

DOI Bib HTML

@article{nunes2025blockchain,
  title = {Uso do blockchain no contexto agropecuário brasileiro: impactos, desafios e oportunidades},
  author = {Nunes, Lucas Campos de Magalhães and Carromeu, Camilo and Lima, Ivan Bergier Tavares de and Penha, Adriana Dias and Ottoboni, Eduardo Pizzo and Biazus, Maria do Carmo and Moura, Thaminne Myllena Maria de Carvalho and Santos, Silvana Maria Aparecida Viana},
  journal = {Cadernos Cajuína},
  volume = {10},
  number = {4},
  pages = {e1253},
  year = {2025},
  doi = {10.52641/cadcajv10i4.1253},
}

COMPAG

Deep4Fusion: A Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits

Lucas de Souza Rodrigues, Edmar Caixeta Filho, Kenzo Sakiyama, and 7 more authors

Computers and Electronics in Agriculture, 2023

DOI Bib HTML

@article{rodrigues2023deep4fusion,
  title = {Deep4Fusion: A Deep FORage Fusion framework for high-throughput phenotyping for green and dry matter yield traits},
  author = {Rodrigues, Lucas de Souza and Caixeta Filho, Edmar and Sakiyama, Kenzo and Santos, Mateus Figueiredo and Jank, Liana and Carromeu, Camilo and Silveira, Eloise and Matsubara, Edson Takashi and Marcato Junior, José and Gonçalves, Wesley Nunes},
  journal = {Computers and Electronics in Agriculture},
  volume = {211},
  pages = {107957},
  year = {2023},
  doi = {10.1016/j.compag.2023.107957},
}

Sensors

Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing

Gabriel Silva Oliveira, José Marcato Junior, Caio Polidoro, and 13 more authors

Sensors, 2021

DOI Bib HTML

@article{oliveira2021cnn,
  title = {Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing},
  author = {de Oliveira, Gabriel Silva and Marcato Junior, José and Polidoro, Caio and Osco, Lucas Prado and Siqueira, Henrique and Rodrigues, Lucas and Jank, Liana and Barrios, Sanzio and Valle, Cacilda and Simeão, Rosângela and Carromeu, Camilo and Silveira, Eloise and Jorge, Lúcio André de Castro and Gonçalves, Wesley and Santos, Mateus and Matsubara, Edson},
  journal = {Sensors},
  volume = {21},
  number = {12},
  pages = {3971},
  year = {2021},
  doi = {10.3390/s21123971},
}

Sensors

Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery

Wellington Castro, José Marcato Junior, Caio Polidoro, and 12 more authors

Sensors, 2020

DOI Bib HTML

@article{castro2020deep,
  title = {Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery},
  author = {Castro, Wellington and Marcato Junior, José and Polidoro, Caio and Osco, Lucas Prado and Gonçalves, Wesley and Rodrigues, Lucas and Santos, Mateus and Jank, Liana and Barrios, Sanzio and Valle, Cacilda and Simeão, Rosangela and Carromeu, Camilo and Silveira, Eloise and Jorge, Lúcio André de Castro and Matsubara, Edson},
  journal = {Sensors},
  volume = {20},
  number = {17},
  pages = {4802},
  year = {2020},
  doi = {10.3390/s20174802},
}

TGFT

Pasto Certo® version 2.0 - An application about Brazilian tropical forage cultivars for mobile and desktop devices

Sanzio Carvalho Lima Barrios, Camilo Carromeu, Márcio Aparecido Inácio da Silva, and 13 more authors

Tropical Grasslands - Forrajes Tropicales, 2020

DOI Bib HTML

@article{barrios2020pastocerto,
  title = {Pasto Certo® version 2.0 - An application about Brazilian tropical forage cultivars for mobile and desktop devices},
  author = {Barrios, Sanzio Carvalho Lima and Carromeu, Camilo and Silva, Márcio Aparecido Inácio da and Matsubara, Edson Takashi and Valle, Cacilda Borges do and Jank, Liana and Santos, Mateus Figueiredo and Assis, Giselle Mariano Lessa de and Crivellaro, Leonardo Lazarino and Gonçalves, Thallyson Danchen Teixeira and Queiroz Júnior, José Marcos and Candido, Anderson Ramires and Machado, Wyverson Kim Rocha and Gouveia, Beatriz Tomé and Nobre, Alana Aparecida Amarilha and Zanella, Ayhan Liell},
  journal = {Tropical Grasslands - Forrajes Tropicales},
  volume = {8},
  number = {2},
  pages = {162--166},
  year = {2020},
  doi = {10.17138/tgft(8)162-166},
}

JAS

PSXI-9 CriaCerto - Breeding System Simulator App: a case of study in Brazil

Thais B. Amaral, Fernando P. Costa, and Camilo Carromeu

Journal of Animal Science, 2020

DOI Bib HTML

@article{amaral2020criacerto,
  title = {PSXI-9 CriaCerto - Breeding System Simulator App: a case of study in Brazil},
  author = {Amaral, Thais B. and Costa, Fernando P. and Carromeu, Camilo},
  journal = {Journal of Animal Science},
  volume = {98},
  number = {Supplement 4},
  pages = {388--389},
  year = {2020},
  doi = {10.1093/jas/skaa278.684},
}

IJWIS

From e-Gov Web SPL to e-Gov Mobile SPL

Camilo Carromeu, Debora Maria Barroso Paiva, and Maria Istela Cagnin

International Journal of Web Information Systems, 2016

DOI Bib HTML

@article{carromeu2016egov,
  title = {From e-Gov Web SPL to e-Gov Mobile SPL},
  author = {Carromeu, Camilo and Paiva, Debora Maria Barroso and Cagnin, Maria Istela},
  journal = {International Journal of Web Information Systems},
  volume = {12},
  number = {1},
  pages = {39--61},
  year = {2016},
  doi = {10.1108/ijwis-10-2015-0036},
}

LNCS

The Evolution from a Web SPL of the e-Gov Domain to the Mobile Paradigm

Camilo Carromeu, Debora Maria Barroso Paiva, and Maria Istela Cagnin

In Lecture Notes in Computer Science, 2015

Bib

@incollection{carromeu2015evolution,
  title = {The Evolution from a Web SPL of the e-Gov Domain to the Mobile Paradigm},
  author = {Carromeu, Camilo and Paiva, Debora Maria Barroso and Cagnin, Maria Istela},
  booktitle = {Lecture Notes in Computer Science},
  publisher = {Springer International Publishing},
  year = {2015}
}