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Fenfang Lin

Nanjing University of Information Science and Technology
H指数:13
被引数:564
浏览量:0

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UAV-Based Multi-Source Feature Fusion and Ensemble Learning for Maize Growth Monitoring and Fertilizer Optimization in Saline–Alkali Regions

基于UAV的多源特征融合与集成学习在盐碱地区玉米生长监测及施肥优化中的应用

2026-05-110
OA
Corrigendum to “would it be better for partition prediction of heavy metal concentration in soils based on the fusion of XRF and Vis-NIR data?” [Sci. Total Environ. 908, (2024) 168381]

勘误:“基于XRF和Vis-NIR数据融合进行土壤重金属浓度分区预测是否更好?” [Sci. Total Environ. 908, (2024) 168381]

2026-03-310
PRE
Research on Driving Forces of Spatiotemporal Patterns in Cotton Cultivation Considering Spatial Heterogeneity

考虑空间异质性的棉花种植时空格局驱动力研究

2026-03-030
OA
Product innovativeness under market uncertainty: the mediating impact of market orientation and absorptive capacity

在市场不确定性下的产品创新性:市场导向和吸收能力的中介影响

2025-06-270
PRE
Effects of Long-Term Input of Controlled-Release Urea on Maize Growth Monitored by UAV-RGB Imaging
2025-03-150
OA
Would it be better for partition prediction of heavy metal concentration in soils based on the fusion of XRF and Vis-NIR data? (vol 908, 168381, 2024)
2024-02-010
PRE
Would it be better for partition prediction of heavy metal concentration in soils based on the fusion of XRF and Vis-NIR data?
2024-01-014
PRE
Wheat lodging extraction using Improved_Unet network

基于改进unet网络的小麦倒伏提取

2022-09-309
OAAI
Identification of Rice Sheath Blight through Spectral Responses Using Hyperspectral Images

利用高光谱图像通过光谱响应识别水稻纹枯病

SENSORS
IF3.5
2020-11-0226
OAAI
Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging

高光谱成像检测小麦赤霉病的新光谱病害指数的开发与评价

SENSORS
IF3.5
2020-04-1633
OAAI
Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging
SENSORS
IF3.5
2019-09-06120
OAAI
Forecasting unknown-unknowns by boosting the risk radar within the risk intelligent organisation
2019-04-0139
OAAI
Detection of Corn and Weed Species by the Combination of Spectral, Shape and Textural Features
2017-08-0452
OAAI