Food and Water Systems in the Intelligent Age 2024

Innovation layer Multi-modal AI across over 20 satellite indices, microclimate prediction, smart crop sugges- tions, optimized crop placement, precision irrigation and fertilizer insights, sensor placementDecision/intelligence layer Chat interface for farmers, web dashboard for private sector and policy-makers Digital and data layer Weather forecasts, satellite imagery, soil samples, farm boundary, crops’ and seeds’ availability Physical infrastructure layer Canals, crop storage, logistics, subsidiesStack used to support farmers in improving productivity in a drought region, while saving costsFIGURE 3 Satellites Weather providers Drones Soil sensors Field equipmentAgriPilot.ai is transforming agriculture in India using AI and machine learning FIGURE 2 Note: AgriPilot.ai uses generative AI, IoT, satellite imagery and machine learning to support farmers in adapting their practices for a more sustainable global food system. In Baramati, India, AgriPilot.ai has been used to increase crop yields by 20%, reduced water consumption by 8% and improved soil quality by 18% on farms where applied. The platform uses the stack format that would combine the following data into the layers described in chapter 1. Source: AgriPilot.ai Food and Water Systems in the Intelligent Age 10