Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction

Weeds are responsible for yield losses in arable fields, whereas the role of weeds in agro-ecosystem food webs and in providing ecological services has been well established. Innovative weed management policies have to be designed to handle this trade-off between production and regulation services....

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