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Armando Lopes de Brito Filho

Observed names: Armando L. de Brito Filho, Armando Lopes Brito, Armando Lopes De Brito Filho, Armando Lopes De Brito de Filho, Brito Filho, Armando Lopes de [UNESP], Brito Filho, Armando Lopes de
ORCID: 0000-0002-8053-0399
Observed ORCID: 0000-0002-8053-0399
OpenAlex ID: A5060165986
Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption
2024 · Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, et al. · Computers and Electronics in Agriculture · 135
UAVs to Monitor and Manage Sugarcane: Integrative Review
2022 · Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, et al. · Agronomy · 28
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Advancements in peanut mechanization: Implications for sustainable agriculture
2024 · Bruno Rafael de Almeida Moreira, Tulio Mazetti Marra, et al. · Agricultural Systems · 27
Soil and satellite remote sensing variables importance using machine learning to predict cotton yield
2023 · Franciele Morlin Carneiro, Armando Lopes de Brito Filho, et al. · Smart Agricultural Technology · 24
Integrating Satellite and UAV Data to Predict Peanut Maturity upon Artificial Neural Networks
2022 · Jarlyson Brunno Costa Souza, Samira Luns Hatum de Almeida, et al. · Agronomy · 22
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Production of high-quality biogenic fuels by co-pelletization of sugarcane bagasse with pinewood sawdust and peanut shell
2022 · Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, et al. · Biomass Conversion and Biorefinery · 9
Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence
2022 · Franciele Morlin Carneiro, Mailson Freire de Oliveira, et al. · Bioscience Journal · 7
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Deep convolutional networks based on lightweight YOLOv8 to detect and estimate peanut losses from images in post-harvesting environments
2025 · Armando Lopes de Brito Filho, Franciele Morlin Carneiro, et al. · Computers and Electronics in Agriculture · 5
Generalization of peanut yield prediction models using artificial neural networks and vegetation indices
2025 · Jarlyson Brunno Costa Souza, Samira Luns Hatum de Almeida, et al. · Smart Agricultural Technology · 4
Does the Soil Tillage Affect the Quality of the Peanut Picker?
2023 · Armando Lopes de Brito Filho, Franciele Morlin Carneiro, et al. · Agronomy · 4
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Unmanned aerial system and satellite: Which one is a better platform for monitoring of the peanut crops?
2023 · Jarlyson Brunno Costa Souza, Samira Luns Hatum de Almeida, et al. · Agronomy Journal · 4
Combining Artificial Intelligence and Remote Sensing to Enhance the Estimation of Peanut Pod Maturity
2025 · Thiago Caio Moura Oliveira, Jarlyson Brunno Costa Souza, et al. · AgriEngineering · 3
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Estimated losses in soybean (Glycine max (L.) Merril) harvest according to the speed and rotation of the trail system
2021 · Jarlyson Brunno Costa Souza, Mádilo Lages Vieira Passos, et al. · Australian Journal of Crop Science · 3
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High-Throughput Carbon-Capturing Frameworks by Pelleting Hydrochar of Food Waste and its Residual Ash as a Dopant
2022 · Bruno Rafael de Almeida Moreira, Armando Lopes de Brito Filho, et al. · BioEnergy Research · 2
Aerial application results in production gains in relation to ground application in soybean
2025 · Beatriz H. Hamada, Marcio L. Sganzerla, et al. · Revista Caatinga · 1
Peanut yield estimation models using Machine Learning techniques and Google Earth Engine
2023 · Jarlyson Brunno Costa Souza, Franklin Daniel Inácio, et al. · Congresso Brasileiro de Agroinformática (SBIAGRO) · 1
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Loss sampling methods for soybean mechanical harvest
2022 · Carla Segatto Strini Paixão, Murilo Aparecido Voltarelli, et al. · Bioscience Journal · 1
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A High-Throughput Imagery Protocol to Predict Functionality upon Fractality of Carbon-Capturing Biointerfaces
2022 · Bruno Rafael de Almeida Moreira, Armando Lopes de Brito Filho, et al. · Agronomy · 1
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Avaliação da qualidade dos índices de vegetação (NDRE e NDVI) para a cultura do amendoim, utilizando cartas de controle
2020 · Jarlyson Brunno Costa Souza, Samira Luns hatum De almeida, et al. · South American Sciences · 1
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Advancements, Perspectives, and Applications of Digital Agriculture and Remote Sensing in Global Corn Production: A Systematic Review
2026 · José Dimas Rodrigues Oliveira, Marco Antônio da Silva, et al.
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Estimativa Da Produtividade Da Soja Por Meio Do Sensoriamento Remoto Proximal Por Meio Dos Índices De Vegetação Ndvi E Ndre
2025 · Sarah Wachtel, Joseane Aparecida De Paula Cardoso, et al.
Qualidade Operacional Da Semeadura Mecanizada Em Função Da Velocidade De Deslocamento E Da Densidade De Sementes
2025 · Andrew Theodor Rost, Gabriel Geovane Scheidt, et al.
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Technological advances applied to spectral monitoring in agriculture
2024 · Franciele Morlin Carneiro, Armando Lopes de Brito Filho, et al. · Elsevier eBooks
Contributors
2024 · Rafaella Pironato Amaro, Santosh Bhailume, et al. · Elsevier eBooks
Mechanized peanut harvesting: challenges and opportunities in the development of technologies for loss assessment
2024 · Brito Filho, Armando Lopes de [UNESP] · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Works count: 39
Citation count: 282
H-index: 7
I10-index: 5
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