This research presents the Smart Harvesting System with Autonomous Harvesting, which uses autonomous pathfinding to enhance agricultural productivity and reduce labor costs. It will allow the identification of optimal paths for harvesters to navigate through a complex farm layout. Clearly, a smart automated solution is necessary due to the labor-intensive nature of traditional farming and its inability to adapt to changing conditions. The system employs the A* algorithm, which is well known for its reliable path finding to the shortest path between a starting point and an ending point in the face of obstructions. By depicting the farm as a grid of digital form, A* computes an optimal route considering estimated and actual transportation costs. As per our experimental results this method reduces both energy and time consumption in harvesting by guiding the harvester along the safest and shortest route. This approach offers a viable solution for increasing yields while conserving resources through reduced human intervention, making it a significant step toward sustainable agriculture.