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Adapting CRISP-DM to model enteric fermentation emission: farm level application

Philippe Belmont Guerrón et al.

International Journal of Applied Decision Sciences2025https://doi.org/10.1504/ijads.2025.145890article
AJG 1
Weight
0.37

What the paper says

Enteric fermentation contributes substantially to greenhouse gas emissions (GGEs) in agriculture, but may be reversible in the short-term. To date, numerous attempts have been made to model the environmental impact of agriculture, but have failed to integrate multiple dimensions of production. The objective of this study is to adapt the cross industry standard process for data mining (CRISP-DM) at farm level, using the concept of life cycle assessment (LCA) and implemented a modified version of the global livestock environmental assessment model (GLEAM). Using local data collected over 20 years and secondary data, our results show that for dairy cattle, the methane emissions factor from cattle is lower among marginal farms 86 Kg CH4 head-1 year-1 compared to semi-intensive and intensive farms across time and geographical regions (107.4 and 113.5 respectively) and demonstrate that this type of application is relevant for developing countries and smallholder agriculture, where production data is often unavailable.

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https://doi.org/https://doi.org/10.1504/ijads.2025.145890

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@article{philippe2025,
  title        = {{Adapting CRISP-DM to model enteric fermentation emission: farm level application}},
  author       = {Philippe Belmont Guerrón et al.},
  journal      = {International Journal of Applied Decision Sciences},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijads.2025.145890},
}

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Adapting CRISP-DM to model enteric fermentation emission: farm level application

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.