Traceable crop planting technology evaluation method based on multi-dimensional data support

The invention relates to the technical field of agriculture, in particular to a traceable crop planting technology evaluation method based on multi-dimensional data support, and the method comprises the steps: building of an Internet of Things and a cloud database, data collection and processing, and evaluation index operation. The method provided by the invention is based on a multi-dimensional planting technology evaluation system of yield, quality, phenological period, resistance and pest and disease damage, evaluates the process and the result in a more objective and quantifiable manner, is easier for result visualization and transverse comparison of the effect, and provides the ability of data traceability. 本发明涉及农业技术领域，具体涉及一种基于多维度数据支撑的可追溯式农作物种植技术评价方法，包括物联网及云端数据库搭建、数据采集与处理以及评价指标运算；本发明所提供的方法基于产量、品质、物候期、抗性和病虫害的多维度种植技术评价体系，以更加客观可量化的方式，对过程和结果进行评价，更易于结果可视化与效果横向对比，并且提供了数据可追溯的能力。