The book examines why Indian agriculture and rural livelihoods so often operate “on the edge” between order and chaos—and what can be done about it. Drawing on social entropy, game-theoretic intuition, and social-ecological systems thinking, the book maps how climate volatility, market swings, technological change, policy flux, and ecological stressors co-produce risk for farmers. It blends theory, a rich review of literature, and an empirically grounded study (with a rural Bengal focus) to identify the key determinants of perceived uncertainty across market, meteorological, technological, economic, and ecological domains. Methodologically, it pairs classical tools with modern analytics (ANN, FCM, AHP, ARIMA) to quantify uncertainty tolerance, trace inter- and intra-variable interactions, and translate findings into micro-level policy cues for real communities. The eight chapters move from concepts and methods to “social ecology and setting,” empirical revelation, and actionable conclusions, engaging with solutions such as crop insurance, FPOs, contract farming, livelihood diversification, and climate-resilient practices. This is a practical framework for scholars, policymakers, and extension professionals seeking resilient, pro-poor agricultural transformation in the face of rising entropy.

Key features

• Integrates social entropy and chaos insights with agricultural risk management.

• Identifies and measures multi-domain uncertainty drivers affecting farmers.

• Uses ANN/FCM/AHP/ARIMA to quantify perceptions and predict interactions.

• Presents a clear, eight-chapter architecture from theory to field evidence.

• Distills micro-policy recommendations for local social ecologies.

• Anchors solutions in Indian contexts: FPOs, price stabilization, insurance, and climate-smart practices.

 1 Introduction

 2 Literature Citations

 3 Theory and Concepts

 4 Research Methodology

 5 Social Ecology and Setting

 6 Empirical Revelation

 7 Limitations and Future Scope

 8 Summary and Conclusion

 Bibliography