To ensure food security, seed production systems should innovate in the direction of increasing production while optimizing utilized resources amidst changing climate. Rice (Oryza sativa L.) is one of the pivotal staple cereal crops feeding more than half of the world population. In recent years, hybrid seeds have proven to be an effective solution to increasing yield. Seed production is a complex matrix of exogenous factors such as sowing practices, fertigation, biotic/abiotic stresses, and endogenous factors such as seed setting, floret opening, etc. Based on our field experience and past research studies, a large collection of factors have been identified, which can potentially impact the yield. Several factors, which were represented in this study have been found to impact the listed attributes of global hybrid seed productions such as a number of panicles per given area, spikelet grains per panicle, filled grains per panicle, and grain weight. Our study includes the use of Digital Twins and agent-based simulations to enable interaction between the real world and digital environments for “Acre-by-Acre Prescriptions (ABA)” on agronomical practices as farming recommendations, including the measurement of water consumption, conservation, and benchmarking the right optimum. By using these methods, the yield forecasting is improved to near accuracy of 89% as against current industry benchmarking of 70-75% accuracy, and with ABA prescription models the yield gain improved by 10% and water conserved by 30%.