Multimodal Artificial Intelligence in Precision Agriculture
Practices, Challenges, and Applications
Description
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.
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