Technology Stack

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AgroML: Custom Transformer ArchitectureAgroVerse AI™ is powered by AgroML, a proprietary ensemble of machinelearning models optimized for the Indian agricultural context. At its core lies acustom transformer-based architecture designed to process and correlatestructured (e.g., crop yields, soil reports) and unstructured (e.g., voice queries, SMSinputs) data in real time.

Spatio-temporal attention layers

to capture long-range dependencies across time and location (e.g., rainfall vs. yield impact over months).

Crop-specific models trained on district-level data to avoid overgeneralization.

Supports regression (yield forecasting), classification (pest prediction), and

ranking (advisory prioritization).

Incorporates explainable AI (XAI)

methods like SHAP for model

interpretability, helping policy makers understand prediction drivers.