In order to ensure that the agricultural AGV spend least time in the multi-point monitoring process, this paper analyzes the characteristics of the ridge farmland and proposes a path planning algorithm in the ridge farmland based on ant colony algorithm. The actual distance between each monitoring point is discussed in detail. The problem of path planning of multi-point measurement in ridge farmland is transformed into TSP problem. By establishing a suitable model and using Matlab to simulate the path planning algorithm, the results show that the algorithm is feasible.

There are many PATCHES in the measurement of soil attributes in precision agriculture, which are greatly different from the surrounding soil attributes. In this paper, firstly, we build a TSP model of precision agriculture based on the location of PATCHES. Then, we use the improved ant colony algorithm to solve the TSP model. Numerical simulations show the effectiveness and reliability of the proposed method.