A Comprehensive Review of Explainable AI in Agriculture for Sustainable and Smart Farming
A Comprehensive Review of Explainable AI in Agriculture for Sustainable and Smart Farming
Sourabh Thakur,M. Parineeta
1 Citations
TLDR
Different XAI techniques are explored, such as Shapley Additive Explanations (SHAP), Local Interpretable Model-Agnostic Explanations (LIME), Counterfactual Explanations, and Decision Trees, which make AI predictions more interpretable and useful in agriculture.
