| UAV-based thermal imaging in the assessment of water status of soybean plants LGT Crusiol, MR Nanni, RH Furlanetto, RNR Sibaldelli, E Cezar, ... International Journal of Remote Sensing 41 (9), 3243-3265, 2020 | 65 | 2020 |
| NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars LGT Crusiol, JFC Carvalho, RNR Sibaldelli, W Neiverth, A do Rio, ... Precision agriculture 18, 470-490, 2017 | 61 | 2017 |
| Vegetation indices and NIR-SWIR spectral bands as a phenotyping tool for water status determination in soybean P Braga, LGT Crusiol, MR Nanni, ALH Caranhato, MB Fuhrmann, ... Precision Agriculture 22, 249-266, 2021 | 33 | 2021 |
| The spatiotemporal change of cropland and its impact on vegetation dynamics in the farming-pastoral ecotone of northern China D Wuyun, L Sun, Z Chen, A Hou, LGT Crusiol, L Yu, R Chen, Z Sun Science of the Total Environment 805, 150286, 2022 | 32 | 2022 |
| Semi professional digital camera calibration techniques for Vis/NIR spectral data acquisition from an unmanned aerial vehicle LGT Crusiol, MR Nanni, GFC Silva, RH Furlanetto, AA da Silva Gualberto, ... International Journal of Remote Sensing 38 (8-10), 2717-2736, 2017 | 27 | 2017 |
| Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance RH Furlanetto, MR Nanni, MS Mizuno, LGT Crusiol, CR da Silva International Journal of Remote Sensing 42 (11), 4177-4198, 2021 | 26 | 2021 |
| Mapping particle size and soil organic matter in tropical soil based on hyperspectral imaging and non-imaging sensors MR Nanni, JAM Demattê, M Rodrigues, GLAA Santos, AS Reis, ... Remote Sensing 13 (9), 1782, 2021 | 22 | 2021 |
| Organic matter and sand estimates by spectroradiometry: Strategies for the development of models with applicability at a local scale E Cezar, MR Nanni, C Guerrero, CA da Silva Junior, LGT Cruciol, ... | 22 | 2019 |
| Detection of soil organic matter using hyperspectral imaging sensor combined with multivariate regression modeling procedures AS Reis, M Rodrigues, GLAA dos Santos, KM de Oliveira, RH Furlanetto, ... Remote Sensing Applications: Society and Environment 22, 100492, 2021 | 21 | 2021 |
| Classification of soybean genotypes assessed under different water availability and at different phenological stages using leaf-based hyperspectral reflectance LGT Crusiol, MR Nanni, RH Furlanetto, RNR Sibaldelli, E Cezar, L Sun, ... Remote Sensing 13 (2), 172, 2021 | 21 | 2021 |
| Assessing the sensitive spectral bands for soybean water status monitoring and soil moisture prediction using leaf-based hyperspectral reflectance LGT Crusiol, MR Nanni, RH Furlanetto, RNR Sibaldelli, L Sun, ... Agricultural Water Management 277, 108089, 2023 | 20 | 2023 |
| Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods LGT Crusiol, L Sun, RNR Sibaldelli, VF Junior, WX Furlaneti, R Chen, ... Precision Agriculture 23 (3), 1093-1123, 2022 | 17 | 2022 |
| In-season monitoring of maize leaf water content using ground-based and UAV-based hyperspectral data LGT Crusiol, L Sun, Z Sun, R Chen, Y Wu, J Ma, C Song Sustainability 14 (15), 9039, 2022 | 16 | 2022 |
| Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital … RH Furlanetto, M Rafael Nanni, L Guilherme Teixeira Crusiol, GFC Silva, ... International Journal of Remote Sensing 42 (23), 8783-8804, 2021 | 16 | 2021 |
| Yield prediction in soybean crop grown under different levels of water availability using reflectance spectroscopy and partial least squares regression LGT Crusiol, MR Nanni, RH Furlanetto, RNR Sibaldelli, E Cezar, L Sun, ... Remote Sensing 13 (5), 977, 2021 | 15 | 2021 |
| Phenotyping soybeans for drought responses using remote sensing techniques and non-destructive physiological analysis. J Carvalho, LGT Crusiol, LJ Perini, RNR Sibaldelli, F LC, ... Global Science and Technology, v. 8, n. 2, p. 1-16, maio/ago. 2015., 2015 | 15 | 2015 |
| Comparing machine learning algorithms for pixel/object-based classifications of semi-arid grassland in northern China using multisource medium resolution imageries N Wu, LGT Crusiol, G Liu, D Wuyun, G Han Remote Sensing 15 (3), 750, 2023 | 13 | 2023 |
| Reflectance calibration of UAV-based visible and near-infrared digital images acquired under variant altitude and illumination conditions LGT Crusiol, MR Nanni, RH Furlanetto, E Cezar, GFC Silva Remote Sensing Applications: Society and Environment 18, 100312, 2020 | 13 | 2020 |
| Mapping fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine D Wuyun, L Sun, Z Sun, Z Chen, A Hou, LG Teixeira Crusiol, ... GIScience & Remote Sensing 59 (1), 333-353, 2022 | 12 | 2022 |
| Spectral method for macro and micronutrient prediction in soybean leaves using interval partial least squares regression GLAA dos Santos, AS Reis, MR Besen, RH Furlanetto, M Rodrigues, ... European Journal of Agronomy 143, 126717, 2023 | 10 | 2023 |
Marcos Rafael NanniProfessor de Agronomia, Universidade Estadual de Maringá (UEM)在 uem.br 的电子邮件经过验证
