Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras
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Alliance of Bioversity International and CIAT. 2020. Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
Permanent link to cite or share this item: https://hdl.handle.net/10568/111378
The report aims to address the needs of those involved in the environmental management of coffee production across Ocotepeque. We quantify the impact a series of drivers had on deforestation trends in the department, thus isolating coffee driven deforestation. Based on these key results, we identify forests that are under current and future risk of being replaced by coffee. Finally, we identify areas of concern for the coffee sector as well as opportunities arising from climate change.
Other CGIAR Affiliations
SubjectsCLIMATE-SMART TECHNOLOGIES AND PRACTICES;
Organizations Affiliated to the AuthorsAlliance of Bioversity International and CIAT
- CCAFS Reports