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  • 1
    Publication Date: 2014-12-13
    Description: Grapevine leafroll disease threatens the economic sustainability of the grape and wine industry in the United States and around the world. This viral disease reduces yield, delays fruit ripening, and affects wine quality. Although there is new information on the disease spatial-dynamic diffusion, little is known about profit-maximizing control strategies. Using cellular automata, we model the disease spatial-dynamic diffusion for individual plants in a vineyard, evaluate nonspatial and spatial control strategies, and rank them based on vineyard expected net present values. Nonspatial strategies consist of roguing and replacing symptomatic grapevines. In spatial strategies, symptomatic vines are rogued and replaced, and their nonsymptomatic neighbors are virus-tested, then rogued and replaced if the test is positive. Both nonspatial and spatial classes of strategies are formulated and examined with and without considering vine age. We find that spatial strategies targeting immediate neighbors of symptomatic vines dominate nonspatial strategies, increasing the vineyard expected net present value by 18% to 19% relative to the strategy of no disease control. We also find that age-structured disease control is preferred to non-age-structured control but only for nonspatial strategies. Sensitivity analyses show that disease eradication is possible if either the disease transmission rate or the virus undetectability period is substantially reduced.
    Keywords: C15 - Simulation Methods, C63 - Computational Techniques, D24 - Production ; Cost ; Capital and Total Factor Productivity ; Capacity
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 2
    Publication Date: 2016-03-31
    Description: Gleaning is increasingly attracting the attention of food safety networks, including food banks, as a valuable tool that simultaneously reduces food loss and alleviates food insecurity. However, managing gleaning operations can be challenging because the arrival of gleaning opportunities and the attendance of gleaner volunteers are both stochastic. We develop a stochastic optimization model to characterize and optimize a gleaning operation. The food bank chooses the gleaning schedule, which affects the gleaner capacity and the number of gleaning opportunities scheduled. In a specific field study of the Food Bank of the Southern Tier in New York, we analyze the tradeoff between call and volume service levels to find the optimum schedule that maximizes the expected total volume gleaned. Moreover, we find that increasing the gleaning window and increasing slot availability can be used as substitute mechanisms for increasing the total volume gleaned. Additionally, we use our model to assess the impact of recruiting more volunteer gleaners.
    Keywords: C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis, C63 - Computational Techniques, D24 - Production ; Cost ; Capital and Total Factor Productivity ; Capacity, Q18 - Agricultural Policy ; Food Policy
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
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