Implementation of Neutrosophic Logic for Food Security and Agricultural Productivity Analysis in South Asian Countries
Keywords:
Agricultural Productivity; Food Security; Corbin Emissions; Neutrosophic AnalysisAbstract
Agricultural productivity in South Asia heavily depends on carbon emission factors (CO2,
CH4, N2O), together with climatic variability and food security, which profoundly affect economic
stability along with regional food security. This combined classical and neutrosophic analytic
methodology evaluates the interrelationships through the analysis of data from Afghanistan,
Bangladesh, India, Pakistan, and Sri Lanka (2002–2020). The study demonstrates that food security
(logfs) generates the highest positive relationship with crop productivity at a coefficient = 0.871 (p <
0.01), yet farmer livelihoods (logfl) produce a negative result, documenting resource accessibility
differences. The positive connection between Corbin emissions and productivity levels stands out
statistically as significant (p < 0.01) with a coefficient value of 0.026. The neutrosophic analysis
demonstrates superiority over classical methods because it effectively includes both data variability
and indeterminacy by showing that India's crop productivity remains within the span of 60.9–115.7
and is not limited to the single-point estimate of 88.3. The findings underscore the need for climate
smart agriculture, emission reduction strategies, and enhanced farmer support systems. The
proposed policies stress regional teamwork and superior analytical methods alongside sustainable
methods to build climate resilience and secure continuous South Asian food safety in the long run.
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