Islamic FinTech and Green AI for Enhancing Climate Resilient Agriculture in South Asia: Lessons from Green Water Economics and Deforestation Impacts

Abstract The agriculture sector in South Asia, which is a major component of the regional GDP, and which comprises more than half of the Brazilian and Indian workforce, is being crippled by the effects of climate change, especially through deforestation causing changes in the green water cycling processes of the continent through disruption of evapotranspiration and moisture cycling which support rainfall and soil fertility. Based on the latest economic studies, deforestation causes significant losses in rainfalls and the world loses over 15 billion dollars in global GDP through lesser precipitation and also 379 billion dollars in agricultural productivity through decreased soil moisture (equivalent to approximately 8 percent of world agricultural GDP) (Damania et al., 2025). These effects contribute to vulnerability to water stress and drought in South Asia, which impacts majorly on the smallholder farmers in the high-MuslimorMuslim majority territories. In this paper, the author suggests a new model of combining Islamic FinTech with Green AI to create climate-resilient agriculture. These losses can be alleviated with tools like AI-optimized Mugharasah (agricultural partnership) certificates, reforestation and water management with blockchain-enabled waqf funds and predictive analytics to risk-sharing financing(e.g.,moremuddarabah/musharakah models) can be used to meet the Maqasidal-Shariahmandateof environmental stewardship and equitable wealth distribution. It is novel to apply the simulation of the econometrics simulations of green water economics (e.g., South Asian terrestrial moisture recycling models in Damania et al., 2025, Annex 2A) to the situation, illustrating the possibility of maintaining rainfall and moisture loss by using Shariah-compliant digital interventions. This paper uses both mixed techniques (modified simulations and case studies along the lines of Bangladesh and Indian agribusiness) to project anticipated 20-30 productivity and resiliency increases in agribusinessthroughbetterfarmeradoptionandresourceallocationefficiencies. Results are presented to inform policy decisions by the Islamic financial institutions, regulators, and policymakers to develop agribusiness scale on Green AIdriven FinTech to promote SDG 2.4 (resilient agricultural practices) and 13.1 (strengthen resilience to climate-related hazards), and regional climate resilience agendas.