With the fastest growing population, exponentially rising food demands, along with improper utilization of scarce resources, inefficient and inadequate food distribution, environmentally unsound practices and high wastage of food at all stages of production, is an imploding crisis facing the Indian agriculture sector. The current production practices which involve expansive usage of high energy inputs, is likely to be unsustainable in future. Indian agriculture sector uses nearly 56% of fossil energy directly and indirectly for farming practices. With limited supply of fossil energy and exponentially increasing demand, these practices are deemed to be unsustainable as they are, economically inefficient, degrades the environment and socially unprofitable for the farming community. Here in this research, it is explicitly discussed and shown the energy inputs used in wheat production and predict the CO2 emissions from such practices. Artificial neural network technique is used for modeling and prediction here for wheat crop in India. Further it is discussed and shown how circular flow can make agricultural practices sustainable in wheat economy in India.