Agroclimatic and phytosanitary variables dataset and production data of a Colombian Hass avocado crop

The data were collected at a Hass avocado farm in the rural area of Rionegro, a municipality located in eastern Antioquia, Colombia, between 2022 and 2023. The dataset provides information on various agroclimatic variables such as temperature and relative humidity, rainfall, wind speed and direction, and solar radiation. These data were collected in the field using a Campbell Scientific weather station installed on the perimeter of the crop. The data set also includes information on damage caused by phytosanitary agents such as the pests Melolonthidae complex (Astaena pygidialis Kirsch) and the bug Monalonion (Monalonion velezangeli Carvalho and Costa), identified during crop monitoring. These data come from a sample of thirty Hass avocado trees, randomly distributed in all lots of the crop. In addition, the dataset contains the yield information obtained from the sample trees in two harvests, as well as the details of these trees. The dataset can be used to perform predictive data analysis on the crop, to provide tools to help farmers in the region manage risks from phytosanitary and agroclimatic events and obtain better yields in avocado production. Thus, the dataset provides valuable information on agroclimatic variations, phytosanitary events, and Hass avocado production in the area studied, and can serve as a basis for decision making and risk management.

本研究数据集系于2022年至2023年间，在哥伦比亚安蒂奥基亚省东部Rionegro市郊的哈斯鳄梨农场采集而成。该数据集详尽地记录了多种农业气候变量，诸如气温、相对湿度、降水量、风速与风向以及太阳辐射等。所收集数据均通过设置在作物外围的Campbell Scientific气象站于现场进行。此外，数据集还涵盖了由植物卫生害虫，如Melolonthidae复合害虫（Astaena pygidialis Kirsch）和Monalonion害虫（Monalonion velezangeli Carvalho and Costa）等造成的损害信息，这些害虫是在作物监测期间被识别出来的。数据来源于三十棵随机分布在各地块的哈斯鳄梨树样本。数据集还包括了从样本树中获取的两个收获周期的产量信息以及这些树木的详细信息。该数据集可用于进行作物预测性数据分析，为该地区农民提供管理植物卫生和农业气候事件风险的工具，以获得更佳的鳄梨产量。因此，该数据集为研究区域的农业气候变化、植物卫生事件以及哈斯鳄梨生产提供了宝贵信息，可作为决策制定和风险管理的基础。