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MODELING TAKE-UP OF RICE-FISH SYSTEMS WITH FUZZY LOGIC

机译:用模糊逻辑建模稻米鱼系的造成

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Most current models analyzing technology adoption are based on a function that assumes farmers make decisions upon utility maximization but ignores cultural or social factors. The traditional production systems of the Mekong Delta were based on floating rice varieties and fish harvested both from rivers and rice fields. Since 1980 the presence of fish in the rice fields decreased and research developed the so-called concurrent rice-fish system to capture the advantages of the synergy. Whether this isa feasible option depends on the farmers' drives and motives for taking-up the technology. In 2000 we made an inventory among 60 farmers who adopted the rice-fish system in four districts to describe their resources and motivations. In 2006 we repeatedthis survey among 94 farmers including potential adopters, in order to evaluate the take-up potential of the rice-fish system in the Mekong Delta. Income/person and income/ha of the farm households with a rice-fish system were close to double, while their land area (2.5ha) was not significantly larger than those farms without a rice-fish system (1.95ha). Usually farmers integrating also pigs and fish had the smallest land area. The farmers' non-adoption of the rice-fish system was mainly due to low availability of capital and land, and to inappropriate location of the field in relation to the homestead, water availability, and agro-ecological conditions. To create space for more upland crops was an important argument for the construction of a rice-fishsystem. Modeling confirmed that under appropriate agro-ecological conditions the take-up of rice-fish systems can be stimulated by increasing know-how on fish and on system component integration. The sensitivity of the fuzzy logic simulation did not confirm the importance of land size and wealth ranking for the take-up.
机译:分析技术采用的大多数目前的模型基于假设农民在公用事业最大化做出决定但忽略文化或社会因素的函数。湄公河三角洲的传统生产系统基于漂浮的水稻品种和鱼类,从河流和稻田收获。自1980年以来,水稻领域的鱼类的存在减少,研究开发了所谓的同时稻米鱼系统,以捕捉协同作用的优势。无论是可行的选择是否取决于农民的驱动器和吸收技术的动机。 2000年,我们在4名农民中采用了一家在四个地区采用稻米鱼系统的库存来描述其资源和动机。 2006年,我们重复了94名农民之间的调查,包括潜在的采用者,以评估湄公河三角洲稻米鱼系的卷取潜力。稻鱼系统的农户收入/人和收入/公顷近似于双,而他们的土地面积(2.5Ha)没有明显大于那些没有稻鱼系统的农场(1.95HA)。通常农民整合猪和鱼有最小的土地面积。农民的不采用稻米鱼体系主要是由于资本和土地的可用性低,以及与宅基地,水可用性和农业生态条件相关的不恰当位置。为更多高地作物创造空间是建造稻田系统的重要论点。建模证实,在适当的农业生态条件下,可以通过增加鱼类和系统组分集成来刺激稻米鱼系的吸收。模糊逻辑模拟的敏感性并未确认土地规模和财富排名对卷取的重要性。

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