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Our goal is to predict which forests are harvestable in New Zealand each year, and the stumpage profits attained from harvesting. We begin by documenting how Motu updates the 2008 Land Use in Rural New Zealand map to match the 2013 National Exotic Forest Description planted forest dataset. We...
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For the flexible job shop (FJSP) completion time prediction problem considering environmental noise, the mathematical model of the problem, the sample generator and the completion time prediction model based on AE-CNN-LSTM are constructed. Firstly, to address the problem that workshop data is...
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PurposeThe purpose of this paper is to propose an improved reinsurance pricing framework, which includes a crop yield forecasting model that integrates weather variables and crop production information from different geographically correlated regions using a new credibility estimator, and closed...
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The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and countries. With the help of real and simulated...
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Agricultural production is often exposed to several sources of risks, uncertainties and random shocks. These risks and random shocks make the evaluation the influence of policy interventions in the agricultural sector difficult due to the existence of limited data about random events....
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