9/16/2023 0 Comments Programming on weed![]() ![]() Examples of the output are given in this paper, along with discussion on their validation. Users can investigate the effect of management practices (crop, sowing time, weed control and cultivation practices) on their most important weeds over the rotation or use the dynamic programme to evaluate the best theoretical weed management strategy. The model and dynamic programme were developed for the weed management decision support system –‘Weed Manager’. ![]() ![]() A stochastic dynamic programming optimisation is applied to the model to identify the management strategy that maximises gross margin over the rotation. Weed Research49, 207–216.SummaryThis study describes a model that predicts the impact of weed management on the population dynamics of arable weeds over a rotation and presents the economic consequences. Using stochastic dynamic programming to support weed management decisions over a rotation. Benjamin LR, Milne AE, Parsons DJ, Cussans J & Lutman PJW (2009). ![]()
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