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Luís Guilherme Teixeira Crusiol

Brazilian Agricultural Research Corporation
H指数:18
被引数:896

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Water Regime Determines Dose-Dependent Growth and Biomass Allocation Responses of Soybean Seedlings to Bacillus subtilis and Bacillus amyloliquefaciens

水分状况决定枯草芽孢杆菌和解淀粉芽孢杆菌对大豆幼苗剂量依赖性生长和生物量分配响应

2026-07-260
OAAI
Integrating Remote-Sensing Data: UAV Multispectral Imagery, Drone-Derived 3D Canopy Traits and Gridded Climate Variables to Support Potassium Management and Soybean Yield Estimation

集成遥感数据:UAV多光谱影像、无人机获取的3D冠层特征及网格化气候变量,以支持钾肥管理和大豆产量估算

2026-04-030
OA
Mapping of Leaf Pigments in Lettuce via Hyperspectral Imaging and Machine Learning

通过高光谱成像和机器学习对生菜叶片色素进行映射

2026-03-030
OAAI
High-Throughput Identification and Prediction of Early Stress Markers in Soybean Under Progressive Water Regimes via Hyperspectral Spectroscopy and Machine Learning

de Oliveira, C.A.; Vedana, N.G.; Mendonça, W.A.; Gonçalves, J.V.F.; de Matos, D.H.S.; Furlanetto, R.H.; Crusiol, L.G.T.; Reis, A.S.; Antunes, W.C.; de Oliveira, R.B.; 等. 通过高光谱光谱技术和机器学习,对在不同水分梯度下的大豆早期胁迫标记物进行高通量识别和预测。Remote Sens. 2025, 17, 3409. [Google Scholar] [CrossRef]

2026-03-030
OAAI
Determination of soil organic carbon and nutrients by diffuse spectrorradiometry in the Cerrado Mineiro region, Brazil: evaluation of strategies for calibration of hyperspectral models

巴西塞拉多米纽罗地区土壤有机碳和营养元素的漫反射光谱法测定:高光谱模型校准策略的评估

2025-12-010
PRE
Chemometric Analysis for the Prediction of Biochemical Compounds in Leaves Using UV-VIS-NIR-SWIR Hyperspectroscopy

使用uv-vis-nir-swir高光谱预测叶片中生化化合物的化学计量分析

2023-09-288
OAAI