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AgriSciense is building the world’s first scalable, AI-powered early-warning infrastructure for tree-based agriculture, designed to stop catastrophic pest outbreaks before they destroy farms, incomes, and carbon sinks. Tree-boring pests like the Red Palm Weevil cause billions in annual losses, killing mature trees silently and leaving farmers with no reliable way to detect infestation until it is too late. Current solutions—manual scouting, pheromone traps, and excessive spraying—are expensive, inaccurate, and reactive. AgriSciense transforms pest management from chance-based detection to continuous, intelligent surveillance. Our platform integrates a low-cost IoT sensor network (Scout and Ranger), farmer-guided smartphone video capture (Forester), and satellite imagery into VisionAI and BranchAI—our multimodal AI engines that diagnose early-stage pest activity, predict emerging risks, and guide precise, minimal pesticide intervention. This creates a “digital fence” around orchards, enabling farmers, agri-businesses, and governments to monitor tree health in real time. The system is affordable, deployable at scale, and designed for India’s small and medium orchard owners. With 90% lower hardware cost than global alternatives, community training models, and a flexible subscription-based platform, AgriSciense delivers substantial reductions in tree mortality, boosts farm income, and strengthens climate resilience—turning pest detection into a permanent agricultural infrastructure.

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Entity Type
Private Limited Company
Sectors
Precision Agriculture
Startup Stage
validation

Startup Teams

  • 1 Sudip Sinha (Founder)

Incubation Details

Not Incubated

Approved Incentive

Not Available

Year of Establishment2025

Location

State
Uttar Pradesh
Disctrict
Meerut
Pincode
250004