Introducing MLOps to Facilitate the Development of Machine Learning Models in Agronomy: A Case Study
While machine learning (ML) and deep learning (DL) are increasingly being adopted in agronomy, the literature shows that the use of ML Operations (MLOps) frameworks remains scarce during the research stage. This study discusses the utility of MLOps in enhancing the reproducibility and transparency o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11072436/ |
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