| Weed detection in soybean crops using ConvNets A dos Santos Ferreira, DM Freitas, GG da Silva, H Pistori, MT Folhes Computers and Electronics in Agriculture 143, 314-324, 2017 | 530 | 2017 |
| A review on deep learning in UAV remote sensing LP Osco, JM Junior, APM Ramos, LA de Castro Jorge, SN Fatholahi, ... International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 329 | 2021 |
| A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices APM Ramos, LP Osco, DEG Furuya, WN Gonçalves, DC Santana, ... Computers and Electronics in Agriculture 178, 105791, 2020 | 207 | 2020 |
| Detection and classification of soybean pests using deep learning with UAV images EC Tetila, BB Machado, G Astolfi, NA de Souza Belete, WP Amorim, ... Computers and Electronics in Agriculture 179, 105836, 2020 | 204 | 2020 |
| Assessment of CNN-based methods for individual tree detection on images captured by RGB cameras attached to UAVs AA Santos, J Marcato Junior, MS Araújo, DR Di Martini, EC Tetila, ... Sensors 19 (16), 3595, 2019 | 166 | 2019 |
| Automatic recognition of soybean leaf diseases using UAV images and deep convolutional neural networks EC Tetila, BB Machado, GK Menezes, AS Oliveira, M Alvarez, WP Amorim, ... IEEE geoscience and remote sensing letters 17 (5), 903-907, 2019 | 164 | 2019 |
| Identification of soybean foliar diseases using unmanned aerial vehicle images EC Tetila, BB Machado, NA Belete, DA Guimarães, H Pistori IEEE Geoscience and remote sensing letters 14 (12), 2190-2194, 2017 | 156 | 2017 |
| BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory BB Machado, JPM Orue, MS Arruda, CV Santos, DS Sarath, ... Computers and electronics in agriculture 129, 44-55, 2016 | 135 | 2016 |
| Long-term forecast of energy commodities price using machine learning GP Herrera, M Constantino, BM Tabak, H Pistori, JJ Su, A Naranpanawa Energy 179, 214-221, 2019 | 126 | 2019 |
| Leaf nitrogen concentration and plant height prediction for maize using UAV-based multispectral imagery and machine learning techniques LP Osco, JM Junior, APM Ramos, DEG Furuya, DC Santana, ... Remote Sensing 12 (19), 3237, 2020 | 108 | 2020 |
| Unsupervised deep learning and semi-automatic data labeling in weed discrimination A dos Santos Ferreira, DM Freitas, GG da Silva, H Pistori, MT Folhes Computers and Electronics in Agriculture 165, 104963, 2019 | 95 | 2019 |
| Feature extraction and machine learning for the classification of Brazilian Savannah pollen grains AB Gonçalves, JS Souza, GG Silva, MP Cereda, A Pott, MH Naka, ... PloS one 11 (6), e0157044, 2016 | 88 | 2016 |
| Automatic live fingerlings counting using computer vision PLF Albuquerque, V Garcia, ASO Junior, T Lewandowski, C Detweiler, ... Computers and Electronics in Agriculture 167, 105015, 2019 | 70 | 2019 |
| Tecnologia adaptativa em engenharia de computação: Estado da arte e aplicações H Pistori, JJ Neto Universidade de São Paulo (USP), São Paulo, 2003 | 59 | 2003 |
| A deep-learning approach for automatic counting of soybean insect pests EC Tetila, BB Machado, GV Menezes, NA de Souza Belete, G Astolfi, ... IEEE Geoscience and Remote Sensing Letters 17 (10), 1837-1841, 2019 | 56 | 2019 |
| Prediction of Girolando cattle weight by means of body measurements extracted from images VAM Weber, FL Weber, RC Gomes, AS Oliveira Junior, GV Menezes, ... Revista Brasileira de Zootecnia 49, e20190110, 2020 | 54 | 2020 |
| Cattle weight estimation using active contour models and regression trees Bagging VAM Weber, F de Lima Weber, A da Silva Oliveira, G Astolfi, GV Menezes, ... Computers and electronics in agriculture 179, 105804, 2020 | 53 | 2020 |
| Mice and larvae tracking using a particle filter with an auto-adjustable observation model H Pistori, VVVA Odakura, JBO Monteiro, WN Gonçalves, AR Roel, ... Pattern Recognition Letters 31 (4), 337-346, 2010 | 53 | 2010 |
| Plant species identification using color learning resources, shape, texture, through machine learning and artificial neural networks D Bambil, H Pistori, F Bao, V Weber, FM Alves, EG Gonçalves, ... Environment Systems and Decisions 40 (4), 480-484, 2020 | 48 | 2020 |
| Deep learning techniques for beef cattle body weight prediction M Gjergji, V de Moraes Weber, LOC Silva, R da Costa Gomes, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 48 | 2020 |
Wesley Nunes GonçalvesFederal University of Mato Grosso do Sul在 ufms.br 的电子邮件经过验证
