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首页> 外文期刊>Acta Horticulturae >Evaluation, design and control of sustainable horticultural cropping systems.
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Evaluation, design and control of sustainable horticultural cropping systems.

机译:可持续园艺种植系统的评估,设计和控制。

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As all other human activities, horticulture is accountable for its impact on the resources available, now and in the future, to our societies. The problem is of particular importance in production systems that are often intensive and require high amounts of inputs. To fit with the increasing number of regulations and contracts growers have to respect, tools must be created to evaluate existing cropping systems and design and control original ones with respect to sustainability. Whatever the adopted technique, a systemic approach is required. Evaluation is possible either beforehand or during the implementation of the sequence and spatial combination of crops and corresponding technical operations that constitute a cropping system. Sets of agro-ecological indicators have been designed to evaluate the fitness to specifications of ecological sustainability of the various components of cropping systems. They can be used to assess the global environmental impact of cropping systems on environmental resources. Existing or novel management strategies can also be evaluated with simulation models. Conception of crop management strategies consistent with objectives of sustainability has been made possible by the use of specific techniques belonging to the fields of linear programming and artificial intelligence. They make possible the generation of original crop successions and sequences of technical operations. At last, an online control of the cropping system is compulsory to keep it within the limits of the strategic plan. To this end, indicators can be organized in a control board, and combined to decision rules. Artificial intelligence provides a way of formalizing decision rules based on either scientific or expert knowledge, and generate decisions at a tactical level. Such examples show that indicators, models and decision support systems are relevant tools to assess the fitness of horticultural cropping systems to the new standards of resource management.
机译:与所有其他人类活动一样,园艺对它对现在和将来对我们社会的可用资源的影响也应负责。在经常密集且需要大量输入的生产系统中,该问题尤为重要。为了适应越来越多的种植者必须遵守的法规和合同,必须创建工具来评估现有的种植系统,并就可持续性设计和控制原始种植系统。无论采用哪种技术,都需要系统的方法。可以在构成作物系统的农作物的序列和空间组合以及相应的技术操作的实施之前或实施过程中进行评估。已经设计了一套农业生态指标来评估种植系统各个组成部分是否符合生态可持续性规范。它们可用于评估种植系统对环境资源的全球环境影响。现有或新颖的管理策略也可以通过仿真模型进行评估。通过使用属于线性规划和人工智能领域的特定技术,使与可持续性目标相一致的作物管理战略的构想成为可能。它们使产生原始的作物演替和技术操作序列成为可能。最后,必须对种植系统进行在线控制,以使其处于战略计划的范围之内。为此,可以在控制板上组织指标,并将其组合到决策规则中。人工智能提供了一种基于科学知识或专家知识对决策规则进行形式化的方法,并在战术层面上生成决策。这样的例子表明,指标,模型和决策支持系统是评估园艺作物系统对资源管理新标准适用性的相关工具。

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