Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods
D De Clercq, A Mahdi - Computers and Electronics in Agriculture, 2025 - Elsevier
Context: Rice is a critical food source for over half the global population, making yield
forecasting important for food security and agricultural planning. Advances in statistical …
forecasting important for food security and agricultural planning. Advances in statistical …
Transitioning from MLOps to LLMOps: Navigating the Unique Challenges of Large Language Models
Large Language Models (LLMs), such as the GPT series, LLaMA, and BERT, possess
incredible capabilities in human-like text generation and understanding across diverse …
incredible capabilities in human-like text generation and understanding across diverse …