Multimodal Artificial Intelligence in Precision Agriculture - Practices, Challenges, and Applications

The text presents various methods for applying machine learning and deep learning techniques to heterogeneous agricultural data and incorporating advanced Internet of Things-enabled technologies for web and mobile based applications for crop lifecycle tracking.