Abstract: Currently in many studies, farmland qualitative potential in land consolidation is calculated based on farmland classification grades. However, factors of farmland classification cannot completely reflect the effects that land consolidation projects produce in increasing farmland quality by building infrastructure such as farmland roads, farmland shelterbelts, and irrigation and drainage systems. No considering the ability of farmland limiting factors reformed by land consolidation, the results of farmland qualitative potential are questionable. The purpose of this paper was to extend the method of calculation of farmland qualitative potential in land consolidation in a case of Shenyang City. First, the paper analyzed the limiting factors for farmland that can be reformed by land consolidation in comparing with factors included in farmland classification. Then, the revised method of evaluating farmland quality was put forward, the method as follow: weight values was supplied and scores of land consolidation reformed factors to the index system of farmland nature quality evaluation in farmland classification was graded, and the revised method was verified by testing the correlation analysis of yield of standard food with farmland utilization grade index. Second, scores of farmland limiting factors were adjusted according to the level of typical land consolidation projects or the maximum value of factors in the third farmland gradation index areas. Third, the formula to calculate farmland qualitative potential was formed based on the D-value of farmland utilization grades before and after land consolidation, and potential zones were identified for the possibility of increase. The potential results of revised methods were compared with those of the planning methods in land consolidation. The study area is Shenyang City of Liaoning Province, and data were obtained from 2007 farmland classification results, 2010 land use change survey and data updates, and 2010 soil maps, DEM data, and forest departmental statistics. Results showed that, based on the revised method, the average farmland quality utilization grade is 5.6, and after land consolidation, the average level of total farmland qualitative potential increased 1.2 utilization grades. Further, the correlation coefficient R2 = 0.8517 of farmland utilization grade index based on revised methods with yield of standard food was calculated in correlation analysis test, which revealed that the precision of farmland quality evaluation on revised methods is better than farmland classification (R2 = 0.7991). High potential areas are mainly distributed in the middle Hun River, the Liao River alluvial plain, and the Northwest plain; low potential areas are mainly distributed in the area of low hills and suburban plain. The measure of farmland quality improvement in land consolidation will focus on soil salinization, irrigation and drainage, roads and other infrastructure. The results of farmland quality potential calculated by the revised method enhance the relationship with farmland qualitative limiting factors, which can prevent farmland quality potential increasing to high value caused by overrating the changeability of some limiting factors. The revised method also can contribute more precision and practicability to farmland qualitative potential in practice of land consolidation projects, providing a method reference for land consolidation planning at the city level.