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 | 49 | 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 | 46 | 2020 |
Recognition of Pantaneira cattle breed using computer vision and convolutional neural networks F de Lima Weber, VA de Moraes Weber, GV Menezes, ASO Junior, ... Computers and Electronics in Agriculture 175, 105548, 2020 | 38 | 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 | 38 | 2020 |
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 | 37 | 2020 |
Weighing live sheep using computer vision techniques and regression machine learning DA Sant’Ana, MCB Pache, J Martins, WP Soares, SLN de Melo, V Garcia, ... Machine Learning with Applications 5, 100076, 2021 | 27 | 2021 |
Carcass image segmentation using CNN-based methods H Goncalves, Diogo Nunes and de Moares Weber, Vanessa Aparecida and Pistori ... Information Processing in Agriculture, 2020 | 20* | 2020 |
Counting cattle in UAV images using convolutional neural network F de Lima Weber, VA de Moraes Weber, PH de Moraes, ET Matsubara, ... Remote Sensing Applications: Society and Environment 29, 100900, 2023 | 16 | 2023 |
Computer vision system for superpixel classification and segmentation of sheep DA Sant'Ana, MCB Pache, J Martins, G Astolfi, WP Soares, SLN de Melo, ... Ecological Informatics 68, 101551, 2022 | 15 | 2022 |
Non-intrusively estimating the live body biomass of Pintado Real® fingerlings: A feature selection approach MCB Pache, DA Sant'Ana, FPC Rezende, JV de Andrade Porto, ... Ecological Informatics 68, 101509, 2022 | 6 | 2022 |
Dynamics of local productive arrangements in the municipalities of Mato Grosso do Sul considering the transformations of the Bioceanic Corridor MB Abrita, RS Vignandi, DAS Centurião, A Rondina Neto, APC Pereira, ... Plos one 18 (4), e0284023, 2023 | 5 | 2023 |
Use of computational vision and UAVs in livestock: A Literature review F de Lima Weber, MI Cagnin, DMB Paiva, VA de Moraes Weber, ... 2019 14th Iberian Conference on Information Systems and Technologies (CISTI …, 2019 | 5 | 2019 |
Fingerlings mass estimation: A comparison between deep and shallow learning algorithms ASO Junior, DA Sant’Ana, MCB Pache, V Garcia, VA de Moares Weber, ... Smart Agricultural Technology 1, 100020, 2021 | 4 | 2021 |
Prediction of fingerling biomass with deep learning MCB Pache, DA Sant’Ana, JVA Rozales, VA de Moraes Weber, ... Ecological Informatics 71, 101785, 2022 | 3 | 2022 |
Automatic counting of cattle with Faster R-CNN on UAV images JV de Andrade Porto, FPC Rezende, G Astolfi, VA de Moraes Weber, ... Anais do XVII Workshop de Visão Computacional, 1-6, 2021 | 3 | 2021 |
Computational System to Support Bovine Nutritional Behavior OJ Luiz, VA de Moraes Weber, MI Cagnin, SR de Medeiros, ... International Journal of Agricultural and Environmental Information Systems …, 2018 | 3 | 2018 |
Combining syntactic methods with LSTM to classify soybean aerial images G Astolfi, MCB Pache, GV Menezes, ASO Junior, GK Menezes, ... IEEE Geoscience and Remote Sensing Letters 18 (12), 2182-2186, 2020 | 2 | 2020 |
Usage of Few-shot Learning and Meta-learning in Agriculture: A Literature Review JV de Andrade Porto, AC Dorsa, VA de Moraes Weber, ... Smart Agricultural Technology, 100307, 2023 | 1 | 2023 |
RUMICAM: A New Device for Cattle Rumination Analysis G de Oliveira, M Carmona, J Pistori, P de Oliveira, R Mateus, G Menezes, ... Anais do XVI Workshop de Visão Computacional, 93-97, 2020 | 1 | 2020 |
Recognition of soybean diseases using machine learning techniques based on segmentation of images captured by uavs G da Silva, A Ferreira, D Guilherme, JF Grigolli, V Weber, H Pistori Anais do XVI Workshop de Visão Computacional, 12-17, 2020 | 1 | 2020 |