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SOIL ANALYTICS
Agriculture is entering a period of transformation driven by soil health visibility. Soil is no longer treated as a static input but instead functions as a dynamic asset that directly affects yields, input efficiency, climate resilience, and long-term land value. Advances in soil analytics now allow measurement of nutrients, moisture, organic matter, and soil carbon with high spatial accuracy. Farmers and producers are shifting from uniform field management toward precision agriculture approaches that respond to variability within each field. At the same time, regenerative practices are gaining momentum as producers seek to rebuild soil fertility, improve water retention, and reduce dependence on synthetic inputs while maintaining productivity. As these practices expand globally, soil data now represents a central component of farm planning, sustainability reporting, and risk management across the agriculture value chain.
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Topics on the agenda
HARVESTING HOPE: AI INNOVATIONS FOR SMALLHOLDER FARMERS IN DRY REGIONS
Day 1: undefined
09:10 - 09:35
BUILDING THE FUTURE OF AG AI WITH ON-FARM DATA AND GEOSPATIAL MODELING
Day 1: undefined
11:30 - 11:55
SATELLITE IMAGERY AND MACHINE LEARNING FOR DATA-DRIVEN, EVIDENCE-BASED DECISION-MAKING IN SMALLHOLDER AGRICULTURE
Day 1: undefined
12:00 - 12:25
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