Roadmap AI per le Aziende del Settore Agriculture a Zagreb

A primary challenge in Zagreb’s agricultural periphery—areas like Samobor and Sesvete—is land fragmentation. Our AI transformation framework utilizes Computer Vision and Multi-Spectral Satellite imagery to aggregate data across small, non-contiguous plots. By applying federated learning models, local cooperatives can gain the same 'economies of scale' insights as massive industrial farms. This includes precise nitrogen application maps and harvest timing predictions specifically calibrated for the continental micro-climates of the Medvednica foothills.

Zagreb serves as the central node for Croatia’s domestic food supply. We implement predictive demand forecasting that synchronizes the harvest cycles of regional producers with the consumption patterns of Zagreb’s urban core. By analyzing seasonal foot traffic at markets like Dolac and retail inventory data from major distributors, AI models minimize post-harvest waste. This 'Just-in-Time' agricultural logistics framework reduces the carbon footprint of transport within the Zagreb-Karlovac-Varaždin triangle while ensuring premium freshness for high-value organic produce.