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Renato Herrig Furlanetto
Renato Herrig Furlanetto
在 ufl.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
662020
High resolution leaf spectral signature as a tool for foliar pigment estimation displaying potential for species differentiation
R Falcioni, T Moriwaki, M Pattaro, RH Furlanetto, MR Nanni, WC Antunes
Journal of plant physiology 249, 153161, 2020
462020
Hyperspectral reflectance imaging to classify lettuce varieties by optimum selected wavelengths and linear discriminant analysis
RH Furlanetto, T Moriwaki, R Falcioni, M Pattaro, A Vollmann, ACS Junior, ...
Remote Sensing Applications: Society and Environment 20, 100400, 2020
372020
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
292017
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
282023
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
272021
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
242021
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
242021
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
212021
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
202022
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
182021
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
182021
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
152020
Rapid quantification of alkaloids, sugar and yield of tobacco (Nicotiana tabacum L.) varieties by using Vis–NIR–SWIR spectroradiometry
M Rodrigues, RB de Oliveira, GLAA Dos Santos, KM de Oliveira, AS Reis, ...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 274, 121082, 2022
142022
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
122023
Hyperspectral remote detection as an alternative to correlate data of soil constituents
MS Chicati, MR Nanni, ML Chicati, RH Furlanetto, E Cezar, ...
Remote Sensing Applications: Society and Environment 16, 100270, 2019
112019
Simple, fast and efficient methods for analysing the structural, ultrastructural and cellular components of the cell wall
R Falcioni, T Moriwaki, RH Furlanetto, MR Nanni, WC Antunes
Plants 11 (7), 995, 2022
102022
Nutrient deficiency lowers photochemical and carboxylation efficiency in tobacco
R Falcioni, T Moriwaki, M Rodrigues, KM De Oliveira, RH Furlanetto, ...
Theoretical and Experimental Plant Physiology 35 (2), 81-97, 2023
92023
Strategies for the development of spectral models for soil organic matter estimation
E Cezar, MR Nanni, LGT Crusiol, L Sun, MS Chicati, RH Furlanetto, ...
Remote Sensing 13 (7), 1376, 2021
82021
Mining Co-products as Sources of Multi-nutrients for Cultivation of Brachiaria ruziziensis
M Rodrigues, MR Nanni, CA Posser Silveira, E Cezar, ...
Natural Resources Research 30, 849-865, 2021
82021
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