Machine Learning

Influence of data cleaning techniques on sub-field yield predictions

Evaluates how different data cleaning strategies for harvester yield maps affect the quality of sub-field crop yield predictions, revealing the sensitivity of ML models to …

c.-sanchez

Predicting crop yield with machine learning: An extensive analysis of input modalities and models on a field and sub-field level

Presents a broad empirical comparison of models and modality combinations for crop yield prediction, establishing a strong baseline for later work on multimodal fusion and …

D. Pathak