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- W1483677070 abstract "Crop rotation is a cropping system alternative that can reduce agriculture's dependence on external inputs through internal nutrient recycling. Also, it maintains long-term productivity of lands and breaks weed and disease cycles. Decision criteria to choose among competing crop rotation systems include economic and environmental considerations. Having many cultivation parcels, selection of optimal rotation alternatives may become difficult as different issues have to be analyzed simultaneously. Thus, this work proposes to use Multiobjective Evolutionary Algorithms (MOEA) to solve a multi-objective crop rotation optimization problem considering various parcels and objectives. Three outstanding MOEAs were implemented: the Strength Pareto Evolutionary Algorithm 2, the Non-dominated Sorting Genetic Algorithm and the micro-Genetic Algorithm. These MOEAS were tested using real data and their results compared using a set of metrics. The provided results have shown to be potentially useful for decision making support." @default.
- W1483677070 created "2016-06-24" @default.
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- W1483677070 date "2009-01-01" @default.
- W1483677070 modified "2023-09-25" @default.
- W1483677070 title "Determining Optimal Crop Rotations by Using Multiobjective Evolutionary Algorithms" @default.
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- W1483677070 doi "https://doi.org/10.1007/978-3-642-04595-0_18" @default.
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