P. G. Om Prakash

BERT-Based Agricultural Crop Prediction System Using Soil and Weather Parameters with Interactive Streamlit Deployment

This research is a BERT-based predictive agricultural crop model that uses contextual language representations to predict complex relationships among soil nutrients and weather conditions and illustrates how transformer-based architecture can be used in precision agriculture and decision support systems.