Plants’ need for water has become a topic of research for the agriculture industry. The fact that plant species are very diverse and each plant’s need for water varies makes it difficult to plan programs with conventional irrigation methods. Plants exhibit different stages from their seed time to harvest season. Each stage is defined within as days, and the amount of water needed by the plant throughout these stages varies. In this study, optimization of the irrigation schedule for each stage of a plant is provided. The amount of water needed by the plant was first figured out by using climatic data, and then, these values were recalculated in relation to the plant type. The amount of water needed at each stage was related to the plant type by using particle swarm optimization. The obtained results revealed the optimal irrigation schedule for each stage with the obtained data.

中文翻译：

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使用粒子群优化技术优化影响植物生命周期所需水量测定的气候条件，并确定最佳灌溉计划

植物对水的需求已成为农业研究的课题。植物种类非常多样化，每种植物对水的需求也各不相同，这使得使用传统灌溉方法规划计划变得困难。植物从种子时间到收获季节表现出不同的阶段。每个阶段都在几天内定义，植物在这些阶段所需的水量各不相同。在这项研究中，提供了植物每个阶段的灌溉计划优化。首先通过使用气候数据计算出植物所需的水量，然后根据植物类型重新计算这些值。通过使用粒子群优化，每个阶段所需的水量与植物类型相关。