Discrete Detection of Qualitative Changes in Agricultural Land Using Heaviside Thresholds : Application to Soil Monitoring

Andrinirina Fabien Ravelonahina, Gericha Apotheken Rabearivelo, Matio Robinson

Abstract


Soil quality is a central indicator of sustainability in agricultural production systems. This article proposes a discrete method for the automatic detection of qualitative changes in soils, based on Heaviside threshold functions and a simple yet robust temporal analysis. The method classifies daily observations into three states: improvement, stability, or degradation, depending on their position relative to a critical threshold and a defined tolerance. A MATLAB simulation illustrates the efficiency of the model, with a graph enabling direct interpretation of soil dynamics. The approach is designed for use in precision agriculture and automated monitoring contexts.

 


Keywords


Soil quality; Discrete detection; Heaviside functions; Critical threshold; MATLAB; Precision agriculture

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References


Lal, R. (2015). Restoring soil quality to mitigate soil degradation. Sustainability, 7(5), 5875–5895.

FAO. (2022). Status of the World’s Soil Resources. Food and Agriculture Organization.

Brevik, E. C., & Hartemink, A. E. (2018). Soil mapping and classification. Geoderma, 319, 1–5.




DOI: http://dx.doi.org/10.52155/ijpsat.v52.2.7469

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Copyright (c) 2025 Andrinirina Fabien Ravelonahina, Guericha Apotheken Rabearivelo, Matio Robinson

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