Improving Farm Yield Through Agent-Based Modelling

In our research, we’ve developed an innovative agent-based model (ABM) to enhance farming yield. This dynamic virtual farming ecosystem simulates interactions between various agents, including plants, insects, and a virtual farmer, within a realistic agricultural environment. The model factors in plant growth, disease spread, insect behaviour, and farmer activities are replicating the complexities of real-world farming. Agents interact with environmental attributes such as soil fertility, water availability, and may possess attributes like disease resistance. Daily operations such as ploughing, irrigation, and health monitoring are simulated. Virtual insects with life cycles affecting crop consumption and yield are introduced. This ABM tool serves as a versatile means to study agricultural systems and devise sustainable productivity improvement strategies, bridging theory, and computational modelling.