Technical Abstract: Research and application of site-specific farming has focused on technological advancements that enable site-specific field operations. The current emphasis on technological tools of site-specific farming, rather than the development of new crop and pest management systems that integrate and optimize the use of these new tools, limits our abilities to realize the full potential and promise of site-specific management. The objective of this paper is to introduce a conceptual framework that integrates spatial and temporal data, information, knowledge, and wisdom into a knowledge-based decision support strategy (KBDSS). Current strategies emphasize data collection and information management followed by an immediate action. We argue that implementation of decision derived using only data and information circumvents knowledge and wisdom, often leading to inappropriate resource management. A successful KBDSS will incorporate a better understanding of interdependency among factors affecting or affected by site-specific decision. We believe that the KBDSS outlined in this paper is a first step in improving integration of weed biology, enhancing the utility of bioeconomic models, shaping farmer/advisor relationships, and recognizing the importance of long-term learning and experience-building within the landscape.