Insect pests are a major threat for agricultural systems, leading to an intensive use of pesticide for crop protection with non-sustainable drawbacks on environment, biodiversity and human health. Most of insects produce pheromones for conspecific communication, making pheromone sensors a good tool for early specific detection of pests, in order to reduce pesticide use in a precision agriculture context. `Pheromone-toolbox` is a Python package containing numerical tools for pheromone sensor data assimilation to infer the position of emitting pest insects. It contains specific tools to model pheromone propagation and solve the corresponding inverse problem to determinate emitters position taking into account the environmental context (wind, landscape, vegetation...). A specific focus is put on the integration of biological knowledge of pest behavior during inference.