| Digital image processing techniques for detecting, quantifying and classifying plant diseases JGA Barbedo SpringerPlus 2 (660), 2013 | 753 | 2013 |
| A review on the main challenges in automatic plant disease identification based on visible range images JGA Barbedo Biosystems engineering 144, 52-60, 2016 | 701 | 2016 |
| 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 | 696 | 2018 |
| Plant disease identification from individual lesions and spots using deep learning JGA Barbedo Biosystems engineering 180, 96-107, 2019 | 694 | 2019 |
| Factors influencing the use of deep learning for plant disease recognition JGA Barbedo Biosystems engineering 172, 84-91, 2018 | 567 | 2018 |
| 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 | 357 | 2019 |
| Identifying Multiple Plant Diseases Using Digital Image Processing JGA Barbedo, LV Koenigkan, TT Santos Biosystems Engineering 147, 104–116, 2016 | 228 | 2016 |
| 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 | 224 | 2020 |
| 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 | 188 | 2019 |
| Detecting Fusarium head blight in wheat kernels using hyperspectral imaging JGA Barbedo, CS Tibola, JMC Fernandes Biosystems Engineering 131, 65-76, 2015 | 163 | 2015 |
| 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 | 156 | 2019 |
| An automatic method to detect and measure leaf disease symptoms using digital image processing JGA Barbedo Plant disease 98 (12), 1709-1716, 2014 | 150 | 2014 |
| 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 | 131 | 2018 |
| Using digital image processing for counting whiteflies on soybean leaves JGA Barbedo Journal of Asia-Pacific Entomology 17 (4), 685-694, 2014 | 131 | 2014 |
| 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 | 103 | 2017 |
| Automatic genre classification of musical signals JGA Barbedo, A Lopes EURASIP Journal on Advances in Signal Processing 2007, 1-12, 2006 | 99 | 2006 |
| 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 | 89 | 2020 |
| 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 | 82 | 2016 |
| Musical instrument classification using individual partials JGA Barbedo, G Tzanetakis IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 111-122, 2010 | 82 | 2010 |
| Detecting and classifying pests in crops using proximal images and machine learning: A review JGA Barbedo Ai 1 (2), 312-328, 2020 | 81 | 2020 |
Luciano Vieira KoenigkanBrazilian Agricultural Research Corporation - EmbrapaVerified email at embrapa.br
