Smart Agriculture : A Novel Multilevel Approach for Agricultural Risk Assessment over Unstructured Data. (arXiv:2211.12515v1 [cs.CL])

Detecting opportunities and threats from massive text data is a challenging
task for most. Traditionally, companies would rely mainly on structured data to
detect and predict risks, losing a huge amount of information that could be
extracted from unstructured text data. Fortunately, artificial intelligence
came to remedy this issue by innovating in data extraction and processing
techniques, allowing us to understand and make use of Natural Language data and
turning it into structures that a machine can process and extract …

agriculture arxiv data risk risk assessment smart unstructured data