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The Next-Gen AI Agronomist Platform. Hybrid CNN + Gemini 1.5 Flash architecture that understands your crops, speaks regional dialects, and optimizes spraying schedules.
Deterministic vision for 95% accuracyin <10ms, coupled with LLM contextual reasoning to synthesize weather, soil, and regional spray advice.
Evolving from a single offline diagnostic tool (1.0) into a full microservices farm management ecosystem (2.0).
Combining ultra-fast deterministic edge vision with LLM contextual reasoning.
MobileNetV2 handles initial visual scan. If confidence is below 60%, safety guardrails reject non-plant or noisy images.
FastAPI microservice fetches hyper-local humidity, wind speed, and precipitation data for the farmer's GPS location.
LLM contextualizes the visual diagnosis with weather risks (e.g. high humidity warning for Copper Oxychloride application).
Generates spoken Marathi/Hindi advice so farmers without literacy barriers receive immediate step-by-step guidance.
Sanjivani 2.0 moved beyond static classification. Instead of returning raw labels ("Early Blight"), the Hybrid AI Pipeline evaluates environmental risks before generating remedies.
If high humidity and rain are forecast, the system advises delaying spray applications to prevent chemical runoff—saving farmers money and protecting soil health.
Contextual agronomist prompt engineering with weather payload injection.
Native Marathi & Hindi localization with Web Speech API audio playback.
async def analyze_crop_health(image, context):
# 1. Fast Edge Prescreen (<10ms)
visual_pred = mobilenet.predict(image)
if visual_pred.confidence < 0.6:
return Security.flag_uncertainty()
# 2. Fetch Hyper-local Weather Payload
weather = await weather_service.get(context.lat, context.lon)
# 3. Gemini 1.5 Flash Agronomist Context
advice = await gemini.generate(
role="agronomist",
lang=context.language,
prompt=f"Diagnosed {visual_pred.disease} in {weather.humidity}% humidity..."
)
return Response(diagnosis=visual_pred, advice=advice)
Real-time wind speed & rain tracking to advise the safest hours for spray application.
Dynamic timeline tracking growth milestones from sowing to harvest with preventative tips.
Cloud database sync across mobile devices to track farm recovery over multiple seasons.