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Haiyan Cen

Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model (IEEE Trans. Ind. Informatics, 2021)
Unmanned aerial vehicle-based field phenotyping of crop biomass using growth traits retrieved from PROSAIL model (Comput. Electron. Agric., 2021)
Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm (Remote. Sens., 2019)
Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure (Comput. Electron. Agric., 2019)
Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape (Remote. Sens., 2018)

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