Titlebook: Decision Support Systems for Weed Management; Guillermo R. Chantre,José L. González-Andújar Book 2020 Springer Nature Switzerland AG 2020

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Guillermo R. Chantre,José L. González-AndújarDiscusses mathematical modeling as an excellent framework for weed management.Addresses integrated weed management tactics from both operational and strategic time planning perspectives.Assesses the e

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Syamal Kumar Sen,Ravi P. Agarwaldeveloped to predict yield loss. Empirical functions are the most commonly used models, which additionally provide information for weed threshold values. The limitations of such models are that they are based on statistical functions and usually do not consider biological insights for crop-weed inte

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Shaum S. Sridharan,Clark A. Rosen-DSS), recent advances in the use of remote and ground platforms and sensors for information gathering and processing, and initial experiences translating this information into chemical and physical weed control actuations through decision algorithms and models.

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