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Three-split N application strategies can help maintain corn yields with smaller total nitrogen (N) fertilizer amounts when applied rates match the crop requirements throughout the growing season. The need for a third application depends on the amount of N provided during the first two applications and how efficiently the applied fertilizer was utilized by the crop. However, current recommendations do not account for early-season N losses and mid-season crop N status, making it difficult to execute optimized N management strategies. Recent research demonstrated that red, green, and blue (RGB) drone imagery can be used to assess mid-season corn N status and fine-tune the current extension guidelines, but adoption of drone imagery is limited because of the need for multi-step image processing. Decision-support system development is needed to make existing research results available to Arkansas corn producers. The objective of this study was to automate drone image processing to assess mid-season corn N status and determine if additional N should be applied to prevent yield loss from N deficiencies. The images used to complete the study objective were collected at the University of Arkansas System Division of Agriculture's Pine Tree Research Station during the 2021 growing season. An algorithm was developed to automate image processing and generate a pre-tassel N fertilizer recommendation from RGB drone images collected between V8 and VT stages. The created algorithm outputs canopy greenness measured using Dark Green Color Index (DGCI), relative grain yield, and N fertilizer recommendation (Yes/No) maps from the collected drone raw images. The next steps toward a functional decision support system are the integration of the created software into a user interface, on-farm validation, and deployment. The created tool will help Arkansas corn producers optimize N input management, which will ultimately increase farm profitability. [ABSTRACT FROM AUTHOR]