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规模化畜禽养殖场数字农业规划方案综合评价

Comprehensive evaluation of digital agriculture planning scheme for large-scale livestock and poultry farms

  • 摘要: 畜禽养殖场数字化赋能是我国数字农业建设试点项目重点支持的内容,其规划方案科学决策是一个多指标综合评价问题。根据规模化畜禽养殖场数字农业规划内涵,从设备、经济、社会及生态方面建立包含4个一级指标、18个二级指标的综合评价指标体系,并基于组合赋权-TOPSIS法构建综合评价模型,对某规模化猪场数字农业规划3套备选方案进行综合评判。结果表明:指标权重排序靠前的依次为技术成熟度(0.248)、智能化(0.120)、直接带动就业(0.119)、节水节能效益(0.082)、技术示范推广(0.071)、工艺符合性(0.055),且设备技术层指标综合权重最大(0.484);各备选方案中,综合生态福利养殖、实现全程信息技术集成应用的方案2为最优方案(接近度0.840)。评价结果与当前规模化畜禽养殖场数字化提档升级整体发展趋势一致,该方法对规模化畜禽养殖场数字农业项目投资决策、规划建设具有一定指导意义。

     

    Abstract: The digital empowerment of livestock and poultry farms is the key content of the digital agriculture construction pilot project in China. The scientific decision-making of its planning scheme is a multi-index comprehensive evaluation problem. According to the connotation of digital agriculture planning of large-scale livestock and poultry farms, a comprehensive evaluation index system including 4 primary indexes and 18 secondary indexes was established from the aspects of equipment, economy, society, and ecology. A comprehensive evaluation model was constructed based on the combined weighting TOPSIS method to comprehensively evaluate three alternative schemes of digital agriculture planning of a large-scale pig farm. The results showed that the top ranking of index weights were technology maturity(0.248), intelligence(0.120), direct employment(0.119), water-saving and energy-saving benefits(0.082), technology demonstration and promotion(0.071), and process compliance(0.055). The comprehensive weight of equipment technology index was the largest(0.484); Among the alternatives, scheme 2, which integrated ecological welfare breeding and realized the integrated application of information technology in the whole process, was the best scheme(proximity 0.840). The evaluation results were consistent with the overall development trend of digital upgrading and upgrading of large-scale livestock and poultry farms. This method has certain guiding significance for investment decision-making, planning, and construction of digital agriculture projects of large-scale livestock and poultry farms.

     

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