Spatial Data and
Analysis are crucial in agricultural production, land use, and Natural
Resources Management. I just got a completion certificate on a QGIS
workshop from LOGIS MAP LOGIS MAP entitled
"QGIS Remote Sensing & Machine Learning for Land Use-Land Cover
Analysis: Classification, Change Detection, and Future Projection".
The
combination of remote sensing, machine learning, and spatial analysis
implementation would create a better and sustainable Agricultural
Production and Land Use, along with the sustainability of the
environment and ecological landscape.
As
a Junior Agricultural Economist and Food Policy Researcher, I hope I
could use these skills and competencies to create a better direction,
policy, and implementation of the Sustainable Food Systems, both
economically and socio-ecologically. Without accurate and credible
spatial data, the sustainable food system, sustainable agricultural
production, and sustainable ecological landscape will be hard to
achieve.
Let's create a Sustainable Food System and Agricultural Production based on a scientifically-approved spatial data and analysis!
Kudos!
"Writing to preserve memory." Dzikra Yuhasyra is a Junior Agricultural Economist and Food Policy Researcher dedicated to creating sustainable agri-food systems. He holds a B.Eng in Agricultural Engineering (ITB '13) and a Master of Agricultural Economics (UNPAD '23). An Indonesian life-long learner and passionate blogger! Discover more at dzikraecommerce.my.id, blogs.unpad.ac.id/dzikrayuhasyra, and dzikrayuhasyra.wordpress.com Enjoy!
Tuesday, 30 December 2025
QGIS and Machine Learning Workshop Organized by LOGIS MAP: The Importance of Spatial Data and Analysis to Create a Sustainable Food System, Agricultural Production, and Ecological Landscape
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