2506.06205v1 null 2025-06-06 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow ... scale Crop Dataset and Dual-stream Transformer Method for Fine-grained Hierarchical Crop ...

A team of Master’s students in Data Science and Big Data at Hassan II University in Casablanca has designed an artificial ...

This paper presents a deep learning framework using convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for crop yield prediction based on environmental data and management ...

This system collects real-time data on critical environmental parameters, forming the foundation of predictive models. We employ multiple machine learning algorithms ... models helps identify the most ...

Machine learning algorithms effectively predict crop yields by utilizing historical weather patterns, soil quality, and crop production data. The study can help in improving crop management and ...