Arslan, FiratDegirmenci, Hasan2026-01-242026-01-2420262949-9119https://doi.org/10.1016/j.farsys.2025.100173https://hdl.handle.net/20.500.12868/5687Land consolidation (LC) is one of the key implementations to improve farm structure by enhancing parcel shape and reducing land fragmentation. Many researchers have developed indicators to measure parcel shape deformation and land fragmentation levels; however, these indicators often lack consistency for assessing land consolidation projects. In this study, we demonstrate that our newly developed New Parcel Shape Index (NSI) and New Land Fragmentation Index (NLFI) are more effective for assessing land consolidation projects. Geospatial and geostatistical analyses were applied to calculate the new indicators using ArcGIS-ArcMAP, with Excel utilised for calculating and comparing other indicators. To test these analyses, the cadastral data and reports of the T & uuml;rkiye Malatya Province Arguvan District Tatk & imath;nl & imath;k Village Land Consolidation project were used as material. As a result, it was observed that parcels with NSI values approaching 1 were close to a rectangular shape, while those deviating from an NSI value of 1 exhibited deformation. Other shape indices were found to perform poorly in parcel shape analysis. In measuring the level of land fragmentation, farms with small NLFI values were observed to be less fragmented than those with large NLFI values. Other land fragmentation indexes showed poor performance compared to NLFI. As a result, NSI is recommended for shape analysis, and NLFI is recommended for assessing land fragmentation. These indices can be utilised in before and after LC evaluations or in determining priority LC areas.eninfo:eu-repo/semantics/openAccessLand consolidationLand fragmentationGeospatial analysisGeostatistical analysisT & uuml;rkiyeGeospatial and geostatistical analysis of land fragmentation and parcel shape indicators for sustainable farm structure in land consolidationArticle10.1016/j.farsys.2025.100173412-s2.0-105017641628Q1WOS:001592628100001Q1