R. H. Furlanetto

发表

Semi professional digital camera calibration techniques for Vis/NIR spectral data acquisition from an unmanned aerial vehicle

Guilherme Fernando Capristo Silva, M. Nanni, L. G. Crusiol, 2017 .

Hyperspectral reflectance imaging to classify lettuce varieties by optimum selected wavelengths and linear discriminant analysis

M. Nanni, R. H. Furlanetto, Thaise Moriwaki, 2020 .

Reflectance calibration of UAV-based visible and near-infrared digital images acquired under variant altitude and illumination conditions

Guilherme Fernando Capristo Silva, M. Nanni, L. G. Crusiol, 2020 .

Classiﬁcation of Soybean Genotypes Assessed under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reﬂectance

M. Nanni, A. Nepomuceno, R. N. Sibaldelli, 2021 .

Assessing phosphorus nutritional status in maize plants using leaf-based hyperspectral measurements and multivariate analysis

Glaucio Leboso Alemparte Abrantes dos Santos, Karym Mayara de Oliveira, Roney Berti de Oliveira, 2022, International Journal of Remote Sensing.

Hyperspectral remote detection as an alternative to correlate data of soil constituents

Marcelo Luiz Chicati, M. Nanni, R. H. Furlanetto, 2019, Remote Sensing Applications: Society and Environment.

Assessing the sensitive spectral bands for soybean water status monitoring and soil moisture prediction using leaf-based hyperspectral reflectance

M. Nanni, A. Nepomuceno, R. N. Sibaldelli, 2023, Agricultural Water Management.

Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods

M. Nanni, R. N. Sibaldelli, L. G. Crusiol, 2022, Precision Agriculture.

Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression

Liang Sun, José Renato Bouças Farias, Marcos Rafael Nanni, 2021, Remote. Sens..

Strategies for the Development of Spectral Models for Soil Organic Matter Estimation

José A. M. Demattê, Liang Sun, Marcelo Luiz Chicati, 2021, Remote. Sens..

Using leaf-based hyperspectral reflectance for genotype classification within a soybean germplasm collection assessed under different levels of water availability

Liang Sun, R. N. Sibaldelli, R. H. Furlanetto, 2021, International Journal of Remote Sensing.

Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital camera

Guilherme Fernando Capristo Silva, M. Nanni, R. N. Sibaldelli, 2021, International Journal of Remote Sensing.

Nutrient deficiency lowers photochemical and carboxylation efficiency in tobacco

Glaucio Leboso Alemparte Abrantes dos Santos, Karym Mayara de Oliveira, Roney Berti de Oliveira, 2023, Theoretical and Experimental Plant Physiology.

Spectral method for macro and micronutrient prediction in soybean leaves using interval partial least squares regression

Glaucio Leboso Alemparte Abrantes dos Santos, Karym Mayara de Oliveira, Roney Berti de Oliveira, 2023, European Journal of Agronomy.

Simple, Fast and Efficient Methods for Analysing the Structural, Ultrastructural and Cellular Components of the Cell Wall

M. Nanni, R. H. Furlanetto, Thaise Moriwaki, 2022, Plants.

Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods

Liang Sun, M. Nanni, R. N. Sibaldelli, 2022, Precision Agriculture.

Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance

M. Nanni, L. G. Crusiol, R. H. Furlanetto, 2021 .

UAV-based thermal imaging in the assessment of water status of soybean plants

M. Nanni, A. Nepomuceno, R. N. Sibaldelli, 2019, International Journal of Remote Sensing.

Detection of soil organic matter using hyperspectral imaging sensor combined with multivariate regression modeling procedures

Amanda Silveira Reis, M. Nanni, R. H. Furlanetto, 2021 .

Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors

Liang Sun, José Alexandre Melo Demattê, Marcos Rafael Nanni, 2021, Remote. Sens..

Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance

Liang Sun, José Renato Bouças Farias, Marcos Rafael Nanni, 2021, Remote. Sens..

Machine learning as a tool to predict potassium concentration in soybean leaf using hyperspectral data

M. Nanni, R. N. Sibaldelli, L. G. Crusiol, 2023, Precision Agriculture.

Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression

Glaucio Leboso Alemparte Abrantes dos Santos, Amanda Silveira Reis, Karym Mayara de Oliveira, 2022, Remote. Sens..

A mobile application to identify poison ivy (Toxicodendron radicans) plants in real time using convolutional neural network

R. H. Furlanetto, Nathan S. Boyd, Arnold Schumann, 2024, Multimedia Tools and Applications.