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  • Presentation | B21M: Data-Driven Agriculture: Remote Sensing and Machine Learning Solutions for Food Security I Poster
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  • B21M-1807: Integrating Crop Dynamics and Pesticide Exposure Zones to Identify Organic Farming Potential in Vietnam’s Mekong River Delta
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  • Board 1807‚ Hall EFG (Poster Hall)
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Author(s):
Nick Kupfer, Agrosphere (IBG-3), Forschungszentrum Jülich GmbH (First Author, Presenting Author)
Linda Klamann, Agrosphere Institute (IBG-3) Forschungszentrum Jülich
Carsten Montzka, Agrosphere Institute (IBG-3), Research Centre Juelich
Tuan Quoc Vo, Can Tho University


The Mekong River Delta in Vietnam faces serious problems like rising sea levels, salty water moving into farmland, and land sinking. Farmers use a lot of pesticides to protect their crops, but this can harm the environment and people's health. Growing organic food is one way to help, but first we need to know where pesticides are used the most.


In this study, we use satellite images and information from local farmers to find out which fields in Vinh Long province use a lot of pesticides. We look at how crops grow and change throughout the year using advanced computer methods. With this information, we can map out the areas where organic farming could work best. This helps farmers and decision-makers plan for safer, more sustainable food production in the future.




Scientific Discipline
Neighborhood
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Main Session
Discussion