In this work we present a theoretical information based strategy known as infotaxis as an effective and robust navigation system for a robotic platform to localize the source of a disease in a crop plantation through chemical detection of volatile compounds. We present a numerical analysis of the robustness of infotaxis with respect to an inaccurate modeling of the medium and we study the efficiency of the strategy as a function of the parameters of the transport process. Our results show that infotaxis is a robust strategy able to deal with the fluctuations, inhomogeneities and unpredictability of real environments. The correlation length of the concentration field is shown to play a key role in the efficiency of infotaxis.
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