Artificial Intelligence in Assessing the Directions of Agrarian Structure Change
Jan 1, 2025·,
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0 min read
Rafał Kaźmierczak
Cezary Kowalczyk
Dariusz Tanajewski
Abstract
This monograph presents a GeoAI methodology for forecasting changes in agrarian structure, combining land and building registry (EGiB), real estate price register (RCN), and local zoning plan (MPZP) data on a regular hexagonal grid, on which a LightGBM model is trained to identify areas at risk of land parcelling or de-agriculturalisation. The methodology is validated on a case study of Ostróda County, chosen for its strong investment pressure and diverse land-use patterns. The book closes with recommendations for local government administration on using such models in spatial planning. The book is written in Polish, original title: “Sztuczna inteligencja w ocenie kierunków zmian struktury agrarnej”.
Type
Publication
Instytut Naukowo-Wydawniczy Spatium, 206 pp.
Authors
Head of Science & Innovation
I’m Head of Science & Innovation at TerraEye, where I lead the team developing
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