Model-based scenario analysis for effective site-specific weed control on grassland sites

The site-specific management of weeds in grassland is often challenging because different weed control strategies have trade-offs regarding the required resources and treatment efficiency. So, question arises whether a wide tractor-based system with section or small agricultural robot has higher performance for given infestation scenario. For example, autonomous moving from one to next might much shorter travel distances (and thus lower energy time costs) than tractor-mounted if locations are relatively isolated across field. However, plants highly concentrated areas so-called clusters, increased width implement could be beneficial greater working width. An additional challenge fact that there no complete knowledge locations. Weeds may not been detected, due their growth stage, occlusion by other objects, misclassification. Weed must therefore also evaluated regard this issue. Thus, addition driving distance, metrics interest, such as number were actually controlled size total area. We performed investigation toxic Colchicum autumnale, which had detected drone images extensive sites. In real data, we generated analyzed simulated using mathematical models stochastic geometry. These offer possibility simulate very spatial distributions plant Different then virtually tested on data Monte Carlo simulations was statistically evaluated.