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 | 240 | 2020 |
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 | 125 | 2020 |
Multi‐trait stability index: A tool for simultaneous selection of soya bean genotypes in drought and saline stress AM Zuffo, F Steiner, JG Aguilera, PE Teodoro, LPR Teodoro, A Busch Journal of Agronomy and Crop Science 206 (6), 815-822, 2020 | 109 | 2020 |
Rainfall extremes and drought in Northeast Brazil and its relationship with El Niño–Southern Oscillation MS Costa, JF Oliveira‐Júnior, PJ Santos, WLF Correia Filho, G Gois, ... International Journal of Climatology 41, E2111-E2135, 2021 | 99 | 2021 |
Persistent fire foci in all biomes undermine the Paris Agreement in Brazil CA da Silva Junior, PE Teodoro, RC Delgado, LPR Teodoro, M Lima, ... Scientific Reports 10 (1), 16246, 2020 | 92 | 2020 |
UAV-multispectral and vegetation indices in soybean grain yield prediction based on in situ observation EE Da Silva, FHR Baio, LPR Teodoro, CA da Silva Junior, RS Borges, ... Remote Sensing Applications: Society and Environment 18, 100318, 2020 | 91 | 2020 |
Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Mato Grosso do Sul State, Brazil PE Teodoro, JF de Oliveira-Júnior, ER Da Cunha, CCG Correa, FE Torres, ... Meteorology and Atmospheric Physics 128, 197-209, 2016 | 87 | 2016 |
Interação genótipo x ambiente em genótipos de feijão-caupi semiprostrado via modelos mistos FE Torres, PE Teodoro, E Sagrilo, G Ceccon, AM Correa Bragantia 74, 255-260, 2015 | 85 | 2015 |
Influences of drying temperature and storage conditions for preserving the quality of maize postharvest on laboratory and field scales PC Coradi, V Maldaner, É Lutz, PV da Silva Daí, PE Teodoro Scientific reports 10 (1), 22006, 2020 | 81 | 2020 |
Soybean varieties discrimination using non-imaging hyperspectral sensor CA da Silva Junior, MR Nanni, M Shakir, PE Teodoro, ... Infrared Physics & Technology 89, 338-350, 2018 | 75 | 2018 |
Microdiversity of an abundant terrestrial bacterium encompasses extensive variation in ecologically relevant traits AB Chase, U Karaoz, EL Brodie, Z Gomez-Lunar, AC Martiny, ... MBio 8 (6), 10.1128/mbio. 01809-17, 2017 | 73 | 2017 |
Vegetation indices for discrimination of soybean areas: A new approach CA da Silva, MR Nanni, PE Teodoro, GFC Silva Agronomy journal 109 (4), 1331-1343, 2017 | 64 | 2017 |
Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product WLF Correia Filho, JF De Oliveira-Júnior, D De Barros Santiago, ... Big Earth Data 3 (4), 315-337, 2019 | 63 | 2019 |
Using remote sensing to quantify the joint effects of climate and land use/land cover changes on the caatinga biome of northeast Brazilian AMRF Jardim, GN Araújo Júnior, MV Silva, A Santos, JLB Silva, ... Remote Sensing 14 (8), 1911, 2022 | 62 | 2022 |
Remote sensing for updating the boundaries between the Brazilian Cerrado-Amazonia biomes CA da Silva Junior, G de Medeiros Costa, FS Rossi, JCE do Vale, ... Environmental Science & Policy 101, 383-392, 2019 | 62 | 2019 |
Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso. FJC Farias, LP De Carvalho, JL Da Silva Filho, PE Teodoro Genetics and Molecular Research, v. 15, n. 2, 2016., 2016 | 62 | 2016 |
Reduction of pesticide application via real-time precision spraying ARA Zanin, DC Neves, LPR Teodoro, CA da Silva Júnior, SP da Silva, ... Scientific reports 12 (1), 5638, 2022 | 60 | 2022 |
Fire foci related to rainfall and biomes of the state of Mato Grosso do Sul, Brazil JF de Oliveira-Junior, PE Teodoro, CA da Silva Junior, FHR Baio, R Gava, ... Agricultural and Forest Meteorology 282, 107861, 2020 | 60 | 2020 |
Predicting days to maturity, plant height, and grain yield in soybean: A machine and deep learning approach using multispectral data PE Teodoro, LPR Teodoro, FHR Baio, CA da Silva Junior, RG dos Santos, ... Remote sensing 13 (22), 4632, 2021 | 57 | 2021 |
Mapping soybean planting area in midwest Brazil with remotely sensed images and phenology-based algorithm using the Google Earth Engine platform CA da Silva Junior, AHS Leonel-Junior, FS Rossi, WLF Correia Filho, ... Computers and electronics in agriculture 169, 105194, 2020 | 56 | 2020 |