Luís Guilherme Teixeira Crusiol

Author

Also Known As

Crusiol, Luís Guilherme Teixeira, L. G. T. Crusiol, L. G.T. Crusiol, L.G.T. Crusiol, Luis Guilherme Teixeira Crusiol, Luís Guilherme Teixeira Crusiol, Luís Guilherme Teixeira Crusiol

Publications

878

Citations

H-Index

Concepts

All Affiliations

Universidade Estadual de Maringá Brazilian Agricultural Research Corporation Chinese Academy of Agricultural Sciences Institute of Agricultural Resources and Regional Planning Universidade de São Paulo

About

Luís Guilherme Teixeira Crusiol is an author at Universidade Estadual de Maringá specializing in engineering, remote sensing, and precision agriculture.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	435
2	Public Health	6	6	177
3	Social Sciences	3	3	59
4	Health Sciences	1	1	18
5	Natural Sciences	1	1	32

Luís Guilherme Teixeira Crusiol

Publications

791

Citations

H-Index

Page 1

	Year	Citations
UAV-based thermal imaging in the assessment of water status of soybean plants Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Renato Herrig Furlanetto, International Journal of Remote Sensing	2019	74
NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars Luís Guilherme Teixeira Crusiol, Josirley de Fátima Corrêa Carvalho, R. N. R. Sibaldelli, Precision Agriculture Different Soybean CultivarsPrecision AgricultureEnvironmental MonitoringWater RegimeEngineering	2016	58
The spatiotemporal change of cropland and its impact on vegetation dynamics in the farming-pastoral ecotone of northern China Deji Wuyun, Liang Sun, Zhongxin Chen, The Science of The Total Environment	2021	54
Vegetation indices and NIR-SWIR spectral bands as a phenotyping tool for water status determination in soybean Patricia Braga, Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Precision Agriculture Plant AnalysisPrecision AgricultureEnvironmental MonitoringVegetation IndicesBotany	2020	53
Assessing the sensitive spectral bands for soybean water status monitoring and soil moisture prediction using leaf-based hyperspectral reflectance Luís Guilherme Teixeira Crusiol, Marcos Rafael Nanni, Renato Herrig Furlanetto, Agricultural Water Management	2022	46
Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors Marcos Rafael Nanni, José Alexandre Melo Demattê, Marlon Rodrigues, Remote Sensing Precision AgricultureEnvironmental MonitoringEngineeringSoil Organic MatterSão Paulo State	2021	36
Detection of soil organic matter using hyperspectral imaging sensor combined with multivariate regression modeling procedures Amanda Silveira Reis, Marlon Rodrigues, Gláucio Leboso Alemparte Abrantes dos Santos, Remote Sensing Applications Society and Environment Environmental ChemistryPrecision AgricultureEnvironmental MonitoringBiogeochemistryHyperspectral Imaging Sensor	2021	33
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods Luís Guilherme Teixeira Crusiol, Liang Sun, R. N. R. Sibaldelli, Precision Agriculture	2022	33
Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance Renato Herrig Furlanetto, Marcos Rafael Nanni, Mônica Sayuri Mizuno, International Journal of Remote Sensing Plant AnalysisPrecision AgricultureEnvironmental MonitoringEngineeringBotany	2021	32
In-Season Monitoring of Maize Leaf Water Content Using Ground-Based and UAV-Based Hyperspectral Data Luís Guilherme Teixeira Crusiol, Liang Sun, Zheng Sun, Sustainability Precision AgricultureEnvironmental MonitoringEngineeringLand UseAgricultural Economics	2022	32

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