Year: 2024
Type: preprint
Abstract: Geospatial data from the 2020 agricultural census provide information related to the geographical location of a farm, for example the location of the main buildings, where the main activities are carried out, or the nearest village. They also offer more detailed insights into the farm structure, for example on the number of holdings, cultivated area, animal stock or agricultural labour force. This is very useful for users who wish to analyse these data at high spatial levels of resolution. The geospatial data from 2020 agricultural census provide new opportunities for evaluation, assessment, analysis, and the creation of land use related maps at a high spatial resolution. The IFSGRID dataset contains 18 files corresponding to the Contextual Indicators of the Performance Monitoring and Evaluation Framework of the Common Agricultural Policy, such as agricultural holdings, land use, livestock patterns, and labor input, age, gender, and skills, and organic farming.
Source: arXiv (Cornell University)
Authors: Skøien, Jon Olav, Lampach, Nicolas, Ramos, Helena, Seljak, Rudolf, Koeble, Renate, See, Linda, van der Velde, Marijn
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W4404305092