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

Published: 22 April 2024| Version 2 | DOI: 10.17632/69nhkcxhp9.2


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.


Steps to reproduce

For agroclimatic variables, an updated Campbell Scientific GRWS100 scientific-grade weather station was used. This included a CR1000X datalogger, 03002-L anemometer, HygroVUE5 temperature and relative humidity sensor, TE525-L rain gauge, CS320 solar radiation sensor, battery, and solar panel to power the system. The weather station's datalogger measured each sensor every 5 minutes and averaged it after 15 minutes, recording the value in the data table. In its case, the precipitation sensor was measured every 5 minutes, and the total value of the measurements was recorded in the table after 15 minutes. For the phytosanitary variables, foliar censuses were made periodically in the crop on a sample of thirty trees out of the four hundred grown on the farm. Together with the research assistants, the researchers went through all the lots of the crop, recording the data observed in each of the trees in the sample in the spreadsheets. The level of damage is recorded in four levels (no damage, low damage, medium damage, high damage) for both pests, on both leaves and fruit. The database is updated with the tabulated data. Likewise, yield data were collected during each harvest using scales at the avocado collection point. Once the fruits were harvested, they were taken to the storage area where the researchers classified, weighed, and recorded each harvest. The data were tabulated and added to the database. With the data collected, researchers should analyze the data set and identify trends in climatic and phytosanitary factors, as well as avocado crop yield, over the study period using data visualization tools such as tables and graphs.


Universidad EAFIT


Plant Pest, Crop Production, Precision Agriculture, Climate Data, Avocado


Universidad EAFIT