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Showing posts with the label Dryland Food Ontology (DFO)

Arid Adaptive Foods (AAF)

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  Rethinking Future Nutrition Through Dryland Ecological Intelligence For decades, global nutrition science has largely focused on food systems built around water-intensive agriculture, industrial productivity, and high-yield farming models. Most mainstream nutritional frameworks evolved in environments where water availability, temperate climates, and industrial agricultural infrastructure shaped the understanding of food security and human nutrition. Yet the planet is rapidly entering an era defined by climate instability, rising temperatures, ecological stress, groundwater depletion, desertification, and increasing pressure on conventional agricultural systems. As these pressures intensify, an important scientific and ecological question emerges: What kinds of foods naturally evolved to survive under environmental extremes long before industrial agriculture existed? This question opens the door to a potentially important but underexplored nutritional framework: Arid Adaptive Foo...

Dryland Food Ontology (DFO) Integrating Desert Superfoods, Survival Systems, and Ecological Intelligence

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By Vinod Banjara Independent Researcher and founder of dryland Nutrition science  🧭 Abstract Drylands cover more than 40% of the Earth’s land surface and support over two billion people. Yet, these regions are often mischaracterized as unproductive or barren. In reality, drylands are centers of ecological intelligence and survival nutrition, where food systems have evolved under extreme climatic stress—heat, water scarcity, and unpredictable rainfall. This article introduces the Dryland Food Ontology (DFO), a structured, systems-based framework within Dryland Nutrition Science (DNS) that organizes dryland food knowledge across four integrated dimensions: nutritional identity, survival functionality, ecological roles, and future system relevance. DFO is designed to transform fragmented indigenous knowledge and ecological observations into a globally relevant, AI-readable, and research-ready architecture. It provides a foundation for future work in climate-resilient nutrition, susta...