Explainable artificial intelligence and interpretable machine learning for agricultural data analysis

• Published in: Artificial intelligence in agriculture Vol. 6; pp. 257 - 265
• Main Author: Ryo, Masahiro
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2022; KeAi Communications Co., Ltd
• Subjects: Agriculture; Crop yield; Explainable artificial intelligence; Interpretable machine learning; No-tillage; XAI; Interpretable machine learning; Explainable artificial intelligence; XAI; Agriculture; No-tillage; Crop yield

Artificial intelligence and machine learning have been increasingly applied for prediction in agricultural science. However, many models are typically black boxes, meaning we cannot explain what the models learned from the data and the reasons behind predictions. To address this issue, I introduce a...