Qualitative dataset based on ancestral knowledge about coffee crops

The qualitative dataset is about coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records and 41 variables collected weekly from September 2020 to August 2021. The qualitative dataset includes climatic conditions, productive activities, external conditions, and coffee bio-aggressors. This dataset allows researchers to find patterns for coffee crop protection by means of ancestral knowledge not detected by real-time agricultural sensors. As far as we are concerned, there are no datasets like the one presented in this paper with similar characteristics of qualitative value that express the empirical knowledge of coffee farmers used to detect triggers of causal behaviors of pests and diseases in coffee crops.本定性数据集依托哥伦比亚考卡省咖啡种植户的传统经验知识构建，主题围绕咖啡虫害展开。数据集源自针对咖啡种植户的调研工作，共收录432条记录与41项变量，数据采集周期为2020年9月至2021年8月，采集频次为每周一次。该定性数据集涵盖气候条件、生产活动、外部环境以及咖啡生物侵害源等相关信息。依托该数据集，研究人员可借助实时农业传感器无法侦测到的传统经验知识，挖掘咖啡作物保护的潜在规律。据本研究团队所知，目前尚无具备同类定性价值的数据集，能够如本文所呈现的数据集一般，承载咖啡种植户的实践经验知识，用于精准识别咖啡作物虫害与病害的因果行为触发诱因。