Artificial Intelligence (AI)-driven Transformation: Sustainable Development of Agro-based Industries in Bihar

Abstract

Digital technologies particularly Artificial Intelligence (AI), are needed to transform agricultural sector in Bihar. There is a vast opportunity in adopting AI-driven solutions to enhance productivity and sustainability as well as increase the profitability of agriculture in Bihar. The current status and potential applications of AI in agriculture will be reviewed, challenges and opportunities specific to regions identified, together with development of strategies for maximum gain from AI technologies. We used the bibliographic methods and SWOT analysis. The growth of Bihar’s GDP as the adoption of Internet of Thing (IoT), precision farming and AI is projected at 5-6% per year that may create up to 30% more job opportunities in agricultural sector by 2024.Precision agriculture combined with crop yield forecasting is among key applications of AI in agro industries, labor optimization and efficiency; soil monitoring and management; disease detection and pest management; weather forecasting for climate risk management purposes among others include weed identification herbicide optimization supply chain optimization. SWOT analysis reveals strength such as enhanced productivity, cost reduction, improved decision-making ability on farm operations and climate resilience improvement strategy while helps farmers accessing information at their fingertips. However, weaknesses include infrastructure limitations, skill gaps and data accessibility issues. Opportunities arise from government support, research and development initiatives and market expansion. Threats encompass the digital divide, privacy and data security concerns, and dependence on external factors. The integration of AI holds substantial relevance for Bihar offering a pathway to overcome existing agricultural challenges and unlock new growth opportunities.