Aggregation water tunnels offer a significant advantage for agricultural practices, particularly in terms of reducing the reliance on electricity for water pumping. By efficiently collecting and transporting water from various sources, these tunnels can help to minimize the need for pumping water over long distances. This reduction in pumping requirements translates to lower electricity consumption, resulting in significant energy savings for agricultural operations. These savings not only contribute to reduced operational costs but also help to mitigate the environmental impact associated with electricity generation. This paper presents an algorithm designed to identify the optimal path between two points on a map that maximizes the total land area covered while minimizing the elevation change. The algorithm's source code, along with the elevation data and other relevant sources, is publicly available at https://github.com/saad4software/least-drop-algorithm .