Submitted:
06 November 2026
Posted:
10 November 2026
You are already at the latest version
Abstract
Bihar's blue food economy, built on inland fisheries, makhana (fox nut) cultivation, and water chestnut (singhara) farming, is a major contributor to India's aquatic food production and a critical source of rural livelihoods, nutrition, and income. The state ranks fourth among India's inland fish producers, contributes roughly 90% of India's makhana output, and accounts for nearly 60% of the country's water chestnut production. Despite this scale, the sector faces mounting structural risks: climate variability, recurring floods and droughts, rising temperatures, water quality degradation, and disease outbreaks. These risks are compounded by a lack of integrated early-warning systems for water quality and climate monitoring, leaving farmers to react to visible losses rather than anticipate them. This paper reviews the current state of Bihar's three major blue food systems, their production trends, climatic and environmental requirements, and value chain challenges. The paper then presents Twingills, an AI-powered digital twin platform built on NatureDots' AquaNurch Foundation Model, as a proposed intelligence layer to close this gap through real-time and predictive intelligence at farm and landscape scales, forecasting, and timely decision support for farmers and other stakeholders.
Keywords:
blue foods
; Bihar
; inland fisheries
; makhana
; water chestnut
; water quality
; climate resilience
; digital twin
; artificial intelligence
; early warning systems
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