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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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Investment in soil analytics and precision agriculture solutions is accelerating as food producers, agribusinesses, and land managers recognize the economic value of healthier soils. Accurate soil intelligence enables variable rate fertilizer application, which helps farmers apply nutrients only where needed and at the right time. This reduces input costs, minimizes nutrient loss, and improves crop performance. Irrigation optimization based on soil moisture data allows growers to respond to real field conditions rather than fixed schedules, which improves water efficiency and crop resilience during dry periods. Soil carbon measurement is also emerging as a strategic capability that supports soil carbon tracking, land stewardship programs, and evidence-based sustainability claims. These capabilities scale across farm sizes and crop systems, supporting decentralized field-level strategic choices while contributing to broader food security and sustainability objectives.

Soil Analytics for Regenerative, Climate-Resilient Agriculture

Understanding soil variability is essential for regenerative practices that aim to restore soil structure, enhance biological activity, and increase soil carbon over time. Reliable soil health data allows producers to evaluate the effects of crop rotations, cover crops, and reduced tillage practices with confidence. It also provides a credible foundation for monitoring long-term soil improvement and demonstrating progress to buyers, investors, and regulators. In regions facing water scarcity, soil moisture intelligence supports smarter irrigation strategies that protect yields while conserving water resources. As climate variability rises, soil analytics equips agricultural stakeholders with actionable insights to adapt management strategies, protect productivity, and safeguard land assets.

At the Agri AI Summit 2026, companies and experts will present solutions, methodologies, and real-world applications that use soil analytics to strengthen precision agriculture, support regenerative practices, and unlock new value from soil health and soil carbon intelligence.

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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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