American Journal of Advanced Multidisciplinary Innovation and Research

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Precision Soil Intelligence for Climate-Resilient Smallholder Agriculture

Author(s) Dr. A. Kumar
Country United States
Abstract Climate variability is intensifying the difficulty of soil, water, and nutrient management in smallholder agriculture. Farmers operating on relatively small landholdings frequently make irrigation, fertilizer, and crop-management decisions under conditions of incomplete information, uncertain rainfall, increasing input costs, heterogeneous soil properties, and limited access to advanced agricultural technologies. Precision soil intelligence offers a potential response by transforming measurements of soil moisture, nutrient status, pH, organic matter, temperature, and associated weather conditions into timely and locally relevant management information. The present study develops an evidence-informed and simulation-based framework for applying precision soil intelligence to climate-resilient smallholder agriculture. Rather than presenting synthetic information as field observations, the research uses explicitly simulated agricultural scenarios to examine how a low-cost soil-intelligence system could influence water-use efficiency, nutrient-use efficiency, yield stability, and climate-response readiness. The conceptual framework prioritizes affordable sensing, local calibration, simple advisory outputs, farmer interpretation, and integration with weather information rather than technologically complex automation.
A normalized simulation indicates improvement in water-use efficiency from 58 to 78, nutrient-use efficiency from 61 to 80, yield stability from 64 to 82, and climate-response readiness from 55 to 84 when soil-intelligence-supported management is compared with conventional decision-making. These values represent scenario-based performance scores and not measured field outcomes. The analysis suggests that the greatest contribution of precision soil intelligence may arise from reducing information uncertainty rather than merely increasing the quantity of technology used on farms. Its successful application, however, depends on affordability, calibration, data quality, digital accessibility, extension support, and compatibility with local farming knowledge. The study proposes a practical pathway through which soil data can support more adaptive, resource-efficient, and climate-resilient decision-making in smallholder farming systems.
Keywords Precision soil intelligence; smallholder agriculture; climate resilience; soil moisture; precision irrigation; digital agriculture; nutrient management; smart farming; climate adaptation
Field Engineering
Published In Volume 2, Issue 3, May-June 2021
Published On 2021-05-29
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