"Smart agriculture with satellite data: improving agriculture in indigenous communities"
- Paper ID
102042
- author
- company
Universidad de San Carlos de Guatemala, USAC/CUNOC;
- country
Guatemala
- year
2025
- abstract
In many regions of the world, Indigenous farmers face significant challenges due to climate variability, water resource scarcity, and limited access to advanced technologies for crop optimization. Precision agriculture based on satellite data has proven to be a key tool for improving agricultural production; however, its use remains limited in rural communities of developing countries due to economic, technological, and educational barriers. To address this issue, we developed an application that leverages multiple sources of satellite data, including optical and thermal imagery as well as climate models. These data are processed using advanced analysis algorithms, transforming them into accessible and practical information for small-scale farmers. The platform generates key indicators such as soil moisture, crop water stress, and climate forecasts, presenting them in a user-friendly format for communities with limited access to advanced technologies. By providing precise and easy-to-interpret information, this tool enhances crop quality, optimizes resource use, and contributes to food security. With this approach, we aim to bridge the digital divide in agriculture, empowering Indigenous communities with knowledge and technological tools that strengthen their resilience to climate change and improve their opportunities for sustainable production