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Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs

Sensors (Basel, Switzerland), 2019-08, Vol.19 (16), p.3595

2019

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Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images

IEEE geoscience and remote sensing letters, 2017-12, Vol.14 (12), p.2190-2194

2017

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IEEE_Xplore

Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

PloS one, 2016-06, Vol.11 (6), p.e0157044-e0157044

2016

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Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (19), p.3237

2020

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Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4632

2021

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Prediction of Girolando cattle weight by means of body measurements extracted from images

Revista brasileira de zootecnia, 2020-01, Vol.49

2020

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Deep learning applied to equipment detection on flat roofs in images captured by UAV

Case Studies in Construction Materials, 2023-07, Vol.18, p.e01917, Article e01917

2023

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Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks

Environment systems & decisions, 2020-12, Vol.40 (4), p.480-484

2020

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Decision Tree Induction using Adaptive FSA

CLEI electronic journal, 2018-09, Vol.6 (1)

2018

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Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning

PloS one, 2021-03, Vol.16 (3), p.e0248574-e0248574

2021

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YOLO performance analysis for real-time detection of soybean pests

Smart agricultural technology, 2024-03, Vol.7, p.100405, Article 100405

2024

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Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV

Agronomy (Basel), 2022-06, Vol.12 (6), p.1352

2022

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Identifying plant species in kettle holes using UAV images and deep learning techniques

Remote sensing in ecology and conservation, 2023-02, Vol.9 (1), p.1-16

2023

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Use of computer vision to verify the viability of guavira seeds treated with tetrazolium salt

Smart agricultural technology, 2023-10, Vol.5, p.100239, Article 100239

2023

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Usage of few-shot learning and meta-learning in agriculture: A literature review

Smart agricultural technology, 2023-10, Vol.5, p.100307, Article 100307

2023

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Data on forecasting energy prices using machine learning

Data in brief, 2019-08, Vol.25, p.104122-104122, Article 104122

2019

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Genetic Divergence in Eucalyptus camaldulensis Progenies in the Savanna Biome in Mato Grosso, Brazil

PloS one, 2016-09, Vol.11 (9), p.e0163698-e0163698

2016

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Deep neural networks with attention mechanisms for Spodoptera frugiperda pupae sexing

Smart agricultural technology, 2023-08, Vol.4, p.100200, Article 100200

2023

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Mapeamento da Vegetação Nativa do Cerrado na Região de Três Lagoas-MS com o Google Earth Engine

Revista brasileira de cartografia, 2019-09, Vol.71 (3), p.702-725

2019

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Counting tilapia larvae using images captured by smartphones

Smart agricultural technology, 2023-08, Vol.4, p.100160, Article 100160

2023

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Pseudo-label semi-supervised learning for soybean monitoring

Smart agricultural technology, 2023-08, Vol.4, p.100216, Article 100216

2023

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Predicting Eucalyptus Diameter at Breast Height and Total Height with UAV-Based Spectral Indices and Machine Learning

Forests, 2021-05, Vol.12 (5), p.582

2021

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Classificação e monitoramento de áreas urbanizadas usando técnicas de visão computacional

Desenvolvimento e meio ambiente, 2023-03, Vol.61

2023

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Impacts of soybean-induced defenses on Spodoptera frugiperda (Lepidoptera: Noctuidae) development

Arthropod-plant interactions, 2018-04, Vol.12 (2), p.257-266

2018

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Weighing live sheep using computer vision techniques and regression machine learning

Machine learning with applications, 2021-09, Vol.5, p.100076, Article 100076

2021

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Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs

Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images

Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques

Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

Prediction of Girolando cattle weight by means of body measurements extracted from images

Deep learning applied to equipment detection on flat roofs in images captured by UAV

Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks

Decision Tree Induction using Adaptive FSA

Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning

YOLO performance analysis for real-time detection of soybean pests

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV

Identifying plant species in kettle holes using UAV images and deep learning techniques

Use of computer vision to verify the viability of guavira seeds treated with tetrazolium salt

Usage of few-shot learning and meta-learning in agriculture: A literature review

Data on forecasting energy prices using machine learning

Genetic Divergence in Eucalyptus camaldulensis Progenies in the Savanna Biome in Mato Grosso, Brazil

Deep neural networks with attention mechanisms for Spodoptera frugiperda pupae sexing

Mapeamento da Vegetação Nativa do Cerrado na Região de Três Lagoas-MS com o Google Earth Engine

Counting tilapia larvae using images captured by smartphones

Pseudo-label semi-supervised learning for soybean monitoring

Predicting Eucalyptus Diameter at Breast Height and Total Height with UAV-Based Spectral Indices and Machine Learning

Classificação e monitoramento de áreas urbanizadas usando técnicas de visão computacional

Impacts of soybean-induced defenses on Spodoptera frugiperda (Lepidoptera: Noctuidae) development

Weighing live sheep using computer vision techniques and regression machine learning

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