Data for Bio-Digital Convergence and Sustainable Artificial Intelligence: Evaluating the Tools of the Jach'a Qh’anax Model in the Andean-Amazonian and Mesoamerican Bioeconomy

This dataset and its complementary software tools form the empirical validation framework of the Jach'a Qh'anax Model Ecosystem. This project explores bio-digital convergence and the application of sustainable Artificial Intelligence (AI) within the bioeconomy of the Andean-Amazonian and Mesoamerican regions, specifically covering Bolivia, Mexico, Guatemala, Honduras, and El Salvador. The primary objective of the ecosystem is to mitigate technical information asymmetries and climate risks faced by traditional rural agricultural producers through decentralized climate sensors and mobile tools, while actively integrating indigenous and ancestral knowledge. The collected data evaluates technological adoption, algorithmic predictive accuracy, the substitution of traditional chemical inputs for bioeconomic practices, and the direct impact on household income stability and food security across 200 multi-country participants during the 2026 agricultural cycle.