Publications by authors named "Hugo Dorado"
Article Synopsis
- Seasonal climate variability and climate change are challenging for farmers, prompting the need for new tools to adapt and utilize increasing observational data on crop performance.
- Data mining techniques can help analyze large datasets to uncover insights from farmer experiences, identifying best practices for coping with climate variability.
- A case study on rice in Colombia used data mining to assess the relationship between climate factors and crop yields, revealing how different cultivars respond uniquely to weather conditions and allowing for targeted recommendations for specific weather patterns.
Agriculture research uses "recommendation domains" to develop and transfer crop management practices adapted to specific contexts. The scale of recommendation domains is large when compared to individual production sites and often encompasses less environmental variation than farmers manage. Farmers constantly observe crop response to management practices at a field scale.
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