Deep Learning Intern (Soil Suitability Data Labeling)
ImageClassification
I classified the quality of soil samples using derived Soil Quality Index for a deep learning soil suitability project. I performed data cleaning, preprocessing, and data transformation on soil data to improve model accuracy as part of a horizontal federated learning (HFL) system. I collaborated on building prediction models for soil salinity and crop yield using neural network architectures such as ResNet50 and VGG.
• Labeled image data of soil samples for classification tasks.
• Applied ARIMA time series analysis for data trends before labeling.
• Used Jupyter Notebook for annotation scripting and process tracking.
• Ensured data consistency and quality in HFL predictive modeling.
I classified the quality of soil samples using derived Soil Quality Index for a deep learning soil suitability project. I performed data cleaning, preprocessing, and data transformation on soil data to improve model accuracy as part of a horizontal federated learning (HFL) system. I collaborated on building prediction models for soil salinity and crop yield using neural network architectures such as ResNet50 and VGG. • Labeled image data of soil samples for classification tasks. • Applied ARIMA time series analysis for data trends before labeling. • Used Jupyter Notebook for annotation scripting and process tracking. • Ensured data consistency and quality in HFL predictive modeling.
2022 - 2022