Word Embeddings

Effective Neural Information Retrieval in Crop Soil Requirement Classification
A novel approach using neural information retrieval and word embeddings to automatically classify crop soil requirements, achieving 76.11% accuracy with scientific names.
Ayman Salama, Tomas Maul, Ebrahim Jahanshiri, Marahaini Nizar, Neil Crout
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Effective Neural Information Retrieval in Crop Soil Requirement Classification