| Deep learning for classification and severity estimation of coffee leaf biotic stress JGM Esgario, RA Krohling, JA Ventura Computers and Electronics in Agriculture 169, 105162, 2020 | 252 | 2020 |
| PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones AGC Pacheco, GR Lima, AS Salomao, B Krohling, IP Biral, GG de Angelo, ... Data in brief 32, 106221, 2020 | 138 | 2020 |
| An app to assist farmers in the identification of diseases and pests of coffee leaves using deep learning JGM Esgario, PBC de Castro, LM Tassis, RA Krohling Information Processing in Agriculture 9 (1), 38-47, 2022 | 68 | 2022 |
| BRACOL-A Brazilian Arabica Coffee Leaf images dataset to identification and quantification of coffee diseases and pests RA Krohling, J Esgario, JA Ventura Mendeley Data 1, 2019 | 32 | 2019 |
| Application of genetic algorithms to the multiple team formation problem JGM Esgario, IE da Silva, RA Krohling arXiv preprint arXiv:1903.03523, 2019 | 8 | 2019 |
| An app to assist farmers in the identification of diseases and pests of coffee leaves using deep learning. Information Processing in Agriculture, 9 (1), 38–47 JGM Esgario, PBC de Castro, LM Tassis, RA Krohling | 6 | 2022 |
| Clustering with minimum spanning tree using TOPSIS with multi-criteria information JGM Esgario, RA Krohling 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018 | 5 | 2018 |
| BRACOL-A Brazilian Arabica Coffee Leaf images dataset to identification and quantification of coffee diseases and pests. Mendeley Data 2019 R Krohling, J Esgario, JA Ventura V1.[Google Scholar], 0 | 2 | |
| Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data JGM Esgario, RA Krohling arXiv preprint arXiv:2201.10650, 2022 | | 2022 |
| Aprendizado Profundo para Classificação e Quantificação de Doenças e Pragas em Imagens de Folhas de Café JGM Esgario | | |
