Beyond detection — AgriVision AI gives your crops a full treatment plan, environmental prescription, and a 90-day care roadmap, powered by state-of-the-art computer vision and AI reasoning.
Image analysis confirms Alternaria solani. Characteristic concentric ring lesions (5–12mm diameter) with yellow chlorotic halos detected on lower canopy leaves. Lesion density is highest in rows B-3 to B-6, suggesting humidity pooling near the drip line. Secondary bacterial co-infection risk is elevated (est. 28%). Without treatment, estimated yield loss in this sector: 40–60% within 3 weeks.
Early Blight thrives in warm, humid conditions. Adjusting these parameters is as important as the chemical treatment.
3× fungicide applications (7-day intervals). Daily humidity and temperature monitoring. Remove pruned material immediately. Weekly AI rescans to track treatment efficacy. Soil biocontrol inoculation in Week 2.
Transition to biweekly preventive copper-based fungicide. Foliar feed with calcium + boron to rebuild cell wall integrity. Re-introduce beneficial insects (predatory mites) for sustainable pest control. Bi-weekly AI health rescans.
Implement crop rotation planning for next season. Apply silicon-based foliar treatment to strengthen leaf cuticle. Monthly AI baseline scans to establish new health benchmarks. Fine-tune irrigation and EC based on growth stage and weather forecast integration.
Predictive model based on regional weather telemetry and historical outbreak data.
From a single image to a full agronomic treatment plan — in under 40ms. Our AI thinks like a PhD plant pathologist, an agronomist, and an IoT systems engineer combined.
Beyond identifying the pathogen, we quantify infection severity, estimate yield impact, and compute a dynamic Crop Health Score from 0–100.
AI-generated, step-by-step treatment plans with specific chemical concentrations, application timing, and resistance rotation — not generic advice.
We read your IoT sensor data and prescribe exact target values for humidity, temperature, ventilation, and irrigation to suppress pathogen proliferation.
Every diagnosis auto-generates a structured 90-day care calendar covering active treatment, recovery nutrition, and long-term immunity hardening.
Time-series weather telemetry feeds our predictive models to forecast daily outbreak risk, alerting you 5–14 days before visible symptoms appear on untreated areas.
Treatment protocols push directly to your drip-irrigation controller, SCADA system, or farm ERP via REST/MQTT webhooks — no manual re-entry.
Founded in early 2025 by a multidisciplinary team of agricultural scientists, ML engineers, and former farm operators, AgriVision AI was built from the ground up to provide the kind of deep, expert-level crop intelligence that was previously only available to large agribusiness corporations.
Fully bootstrapped. No VC. We grow by building something our users genuinely cannot live without. Our private beta is currently live across pilot farm networks in South Korea and Southeast Asia, analyzing thousands of crop samples daily.
We are selectively onboarding enterprise pilot partners and evaluating strategic AI integration partnerships to dramatically scale our inference pipeline. If you operate a large-scale farm network or an agritech platform, reach out directly.