Decision Science Technique for Agri-business in India

Research Article
Dr. Shazia Shaheen
DOI: 
http://dx.doi.org/10.24327/ijrsr.20241509.0933
Subject: 
Commerce
KeyWords: 
Decision Science, Agriculture, Decision Support System.
Abstract: 

Process optimization is a crucial process in organizations to maximize efficiency, minimize costs, and improve overall performance. AI plays a significant role in this optimization, enabling businesses to optimize their processes while adhering to certain limitations. By examining current procedures, identifying areas for development, and implementing plans, organizations can increase productivity, lower costs, and boost customer satisfaction. This journal explores how AI can be leveraged for business process optimization in agriculture.
A vital component of the world’s food production, agriculture is progressively adopting new technologies to boost output and efficiency. Artificial Intelligence (AI) is a technology that has the potential to revolutionize the agricultural industry by helping farmers and agricultural enterprises optimize their operations. This journal investigates the different applications of AI to agricultural business process optimization. The agriculture sector has immense capability and potential to generate jobs by implementing business process optimisation. It is because many of the service have been emerged due to modern agriculture. Technological changes in agriculture such as evolution of high yield variety seeds and mingling of technology started with the invent of artificial intelligence and business optimisation process.All process leads to optimal usage of resources. Growth of Agro-based industries in India helps in agricultural marketing and improvement of the existing products in the market. Decision support system and image recognition system techniques are helpful in pest control.The role of decision science is huge in agricultural marketing with immense potential.