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Jayme Garcia Arnal Barbedo
Jayme Garcia Arnal Barbedo
Researcher, Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Zweryfikowany adres z embrapa.br
Tytuł
Cytowane przez
Cytowane przez
Rok
Digital image processing techniques for detecting, quantifying and classifying plant diseases
JGA Barbedo
SpringerPlus 2 (660), 2013
7592013
A review on the main challenges in automatic plant disease identification based on visible range images
JGA Barbedo
Biosystems engineering 144, 52-60, 2016
7052016
Plant disease identification from individual lesions and spots using deep learning
JGA Barbedo
Biosystems engineering 180, 96-107, 2019
6922019
Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
JGA Barbedo
Computers and electronics in agriculture 153, 46-53, 2018
6892018
Factors influencing the use of deep learning for plant disease recognition
JGA Barbedo
Biosystems engineering 172, 84-91, 2018
5692018
A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses
JGA Barbedo
Drones 3 (2), 40, 2019
3472019
Identifying Multiple Plant Diseases Using Digital Image Processing
JGA Barbedo, LV Koenigkan, TT Santos
Biosystems Engineering 147, 104–116, 2016
2242016
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
CH Bock, JGA Barbedo, EM Del Ponte, D Bohnenkamp, AK Mahlein
Phytopathology Research 2, 1-30, 2020
2202020
Detection of nutrition deficiencies in plants using proximal images and machine learning: A review
JGA Barbedo
Computers and Electronics in Agriculture 162, 482-492, 2019
1862019
Detecting Fusarium head blight in wheat kernels using hyperspectral imaging
JGA Barbedo, CS Tibola, JMC Fernandes
Biosystems Engineering 131, 65-76, 2015
1592015
A study on the detection of cattle in UAV images using deep learning
JGA Barbedo, LV Koenigkan, TT Santos, PM Santos
Sensors 19 (24), 5436, 2019
1502019
An automatic method to detect and measure leaf disease symptoms using digital image processing
JGA Barbedo
Plant disease 98 (12), 1709-1716, 2014
1472014
Using digital image processing for counting whiteflies on soybean leaves
JGA Barbedo
Journal of Asia-Pacific Entomology 17 (4), 685-694, 2014
1342014
Annotated plant pathology databases for image-based detection and recognition of diseases
JGA Barbedo, LV Koenigkan, BA Halfeld-Vieira, RV Costa, KL Nechet, ...
IEEE Latin America Transactions 16 (6), 1749-1757, 2018
1332018
A new automatic method for disease symptom segmentation in digital photographs of plant leaves
JGA Barbedo
European journal of plant pathology 147 (2), 349-364, 2017
1032017
Automatic genre classification of musical signals
JGA Barbedo, A Lopes
EURASIP Journal on Advances in Signal Processing 2007, 1-12, 2006
1012006
Counting cattle in UAV images—dealing with clustered animals and animal/background contrast changes
JGA Barbedo, LV Koenigkan, PM Santos, ARB Ribeiro
Sensors 20 (7), 2126, 2020
862020
Musical instrument classification using individual partials
JGA Barbedo, G Tzanetakis
IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 111-122, 2010
842010
A novel algorithm for semi-automatic segmentation of plant leaf disease symptoms using digital image processing
JGA Barbedo
Tropical Plant Pathology 41 (4), 210-224, 2016
832016
Detecting and classifying pests in crops using proximal images and machine learning: A review
JGA Barbedo
Ai 1 (2), 312-328, 2020
792020
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