AI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture.

ABSTRACT: For optimizing production yield while limiting negative environmental impact, sustainable agriculture benefits from real-time, on-the-spot chemical analysis of soil at low cost. Colorimetric paper sensors are ideal candidates, however, their automated readout and analysis in the field is needed. Using mobile technology for paper sensor readout could, in principle, enable the application of machine-learning models for transforming colorimetric data into threshold-based classes that represent chemical concentration. Such a classification method could provide a basis for soil management decisions where high-resolution lab analysis is not required or available. In tropical regions, where reliable soil data is difficult to acquire, this approach would be particularly useful. Here, we report a m

SUBMITTER: Ferreira da Silva A 

PROVIDER: S-EPMC11753690 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature