Among all the resources, land is a vital resource, being an indispensable part of both physical and cultural environments. However, the relentless demand for land, coupled with improper utilization, has led to widespread land degradationLand degradation and associated socio-economic challenges. To mitigate inappropriate human impacts on natural resources and to establish well-informed land management strategies, Land suitabilityLand suitability analysis has emerged as a beacon of hope in addressing this complex land useLand use challenge. It serves as a valuable method for uncovering the inherent capabilities and potential of land for various purposes, providing valuable insights for sustainable land managementSustainable land management. The study explores the methodological framework, and applications of land suitabilityLand suitability analysis in agricultureAgriculture, demonstrating its potential to analyse geosustainabilityGeosustainability transformations. Land suitability analysis combines qualitative and quantitative data to assess various land characteristics and generate maps depicting suitability levels for different land usesLand use. Modern technological advancements, such as remote sensingRemote sensing and spatial information technology have enhanced the precision of land suitability analysis, allowing for informed decision-making in agricultureAgriculture and other sectors. A review of existing studies reveals that commonly utilized multi-criteria decision-making methods, such as the Analytical Hierarchy Process and Weighted Linear CombinationWeighted linear combination methods are widely used to calculate criteria weights and assign scores to sub-criteria within land suitabilityLand suitability analysis. An analysis of criteria usage in agricultural land suitability indicates that factors such as slope, soil depth, soil texture, soil moisture, land use/land cover, geology, rainfall, and temperature are among the most frequently considered criteria. These classifications and findings provide valuable insights for future modeling and research endeavors in this field.