For small-scale aquaponics operators, balancing fish feed with plant uptake is a constant, high-stakes puzzle. Overfeed, and you risk toxic ammonia spikes and wasted money. Underfeed, and your plants starve. It’s a manual, stressful calculation that directly hits your bottom line. The Core Principle: The Feed-to-Harvest Ratio Engine The key to automation is moving from monitoring parameters to modeling the system’s nutrient economy. Your primary framework is the Feed-to-Harvest Ratio . This isn't just about water chemistry; it's about mass balance . The nutrients from the fish feed must ultimately be converted into plant biomass. By tracking the input (feed) and the output (harvest weight), you create a direct feedback loop an AI can learn from. Your Foundational Tool: Structured Data Logs AI requires clean, consistent data. Your two non-negotiable logs are: Fish Data: Date, Feed_Weight_g, Estimated_Fish_Biomass_kg, Fish_Species, Water_Temp_C .…