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This thesis proposes a novel visualization system for communicating the timing of field operations, for example planting cover crops and strip tillage, as might be required to adopt more sustainable farming practice. Grounded in the context of increasing environmental challenges and the pressing need for conservation agriculture, this work explores the historical evolution of visualization formats and techniques, underscoring their significance and benefits across various domains, before focusing on field operations of cropping systems. Highlighting the complexities involved in conventional and conservation agricultural practices, the study identifies significant barriers to adopting sustainable methods, including economic, operational, and informational hurdles. Attempts to identify solutions to these barriers, such as tools that can accurately depict the timing and operational requirements of agricultural field operations, revealed a gap that requires attention. To address this gap, a Field Operations Visualizer (FOV) is proposed. This FOV is a visualization format conceptualized to address the gap in effective communication and planning of agricultural field operations, especially timing requirements. Through a design process that integrates a review of literature, stakeholder engagement, and a user-centered design approach, the thesis documents the iterative creation of the FOV. It demonstrates how this visualization can facilitate a clearer understanding of the complexities of field operations by providing additional insights compared to traditional methods. The findings from the study reveal the FOV’s capacity to go beyond traditional communication methods, commended for its clarity in representing cropping systems, communicating time-sensitivity, conveying leeway, and identifying potential conflicts with operations. The thesis ends with a discussion on assessing the FOV and the probable broader implications of employing visualization tools in agriculture, advocating for a shift towards more informed and sustainable farming methodologies. Conclusions and recommendations for future work suggest developing a web application based on the FOV design, making it a tool accessible to farmers and other stakeholders, and exploring the integration of the FOV with existing agricultural decision support systems.