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Agni Β· Precision Crop Protection

CIDSA Precision Micro Intervention System

Treat the hotspot, not the farm.

AI-powered multispectral scouting and robotic micro-interventions that detect, verify, and resolve pest, disease, and nutrient stress at square-meter precision.

Pilot crop

Aerial view of a tomato farm under precision monitoring
Sentinel-2 Β· Tomato pilot
Auto-Spray
-62% pest pressure+14% yield

Module Role

Targeted micro-level field interventions

Identify localized crop issues and automatically deploy precise corrective actions only where needed β€” reducing chemical usage while improving yield and sustainability.

NDVI / multispectral satellite tile with AI-flagged crop stress zones
hotspot Β· 0.7
hotspot Β· 0.8
hotspot Β· 0.9
Multispectral Β· NDVI overlay
What it does

Detect and treat at the square-meter level.

Combines multispectral scouting, AI analytics and robotic delivery systems to detect and treat pest infestations, disease outbreaks, nutrient deficiencies, and crop stress where they actually occur β€” instead of blanketing the entire field. On Tomato pilots (40 acres), this approach delivers measurable wins across yield, chemical use and pollinator safety.

  • Up to 60% reduction in agrochemical usage
  • Faster response to emerging infestations
  • Improved crop health and productivity
  • Reduced environmental impact
  • Enhanced pollinator protection
Workflow

From scan to verified outcome, in 24 hours.

Six tightly-orchestrated stages β€” every action logged, every effect verified.

01

Scout

Continuous field surveillance using drones, satellites, and smart sensors.

02

Detect

ML models identify pest, disease, weed and nutrient stress hotspots.

03

Map

Generate intervention-ready field maps with severity classifications.

04

Intervene

Targeted delivery of biological agents, nutrients or precision sprays.

05

Verify

Closed-loop verification scans confirm effectiveness within 24 hours.

06

Report

Automatic generation of intervention logs and sustainability reports.

Key Features

Built for outcomes, not optics.

Pest pressure heatmap

Real-time spatial maps from multispectral imagery flagging pest severity and crop stress zones.

Automated biocontrol delivery

Autonomous mini-tractors and drones release beneficial insects + bio-pesticides into flagged hotspots.

24-hour verification scan

Closed-loop drone re-scan automatically verifies treatment success and surfaces residual risk zones.

Auto-compiled IPM diary

Every intervention is logged into a tamper-evident IPM diary ready for compliance and audits.

Beneficial-insect-safe modes

Pollinator-aware scheduling and selective application protects bees, ladybirds and parasitoid wasps.

Interactive Β· GIS

Pest Pressure Heatmap

High pressure β€” Helicoverpa & Tuta absoluta hotspots

Active Hotspots

47

across pilot blocks

Area Under Risk

8.4%

of 40 acres

Interventions Done

129

last 30 days

Success Rate

94%

verified

LiveΒ·tomato-block-A1
HealthyWatchHotspot
Drone NDVI mosaic of a tomato field showing pest pressure hotspots
Drone NDVI Β· Tomato block A1
14 drone passes 6 robots active 47 hotspots Sync'd 2 min ago

CIDSA Analytics Β· Agni

Hotspot Intervention Outcomes

Tomato pilot Β· 40 acres Β· 60-day cycle

All BlocksIndia
Range Β· This Season

Pest pressure

-62%

vs. baseline

Yield

+14%

q/ac

Chemicals

-41%

L/ac

Bee activity

+28%

index

Pest-pressure trend Β· treated vs. baseline

Index 100 = W0

  • Baseline
  • Treated
W0W2W4W6W804590135180

Outcome mix

after 60 days

  • Bees ↑
  • Chemicals ↓
  • Pest ↓
  • Yield ↑

Chemical use Β· blanket vs. micro

L per acre

  • Blanket
  • Micro
InsecticideFungicideHerbicideNutrient06121824
Sample simulation data Β· Live data feeds available in deployment.Powered by CIDSA Data Visualization & Analytics
Impact

Before vs After

Before

  • βœ•Heavy infestation across full field
  • βœ•Blanket spraying scheduled by calendar
  • βœ•High chemical use Β· 18-22 L/ac
  • βœ•Reduced biodiversity, fewer pollinators

After

  • Localised treatment in mΒ² hotspots only
  • Healthy crop canopy across the rest
  • Reduced application Β· 7-11 L/ac
  • Increased pollinator activity Β· +28%
Stack

Technologies Used

Multispectral Imaging

Drone Surveillance

Satellite Analytics

AI / ML Detection

GIS Mapping

Autonomous Robots

Precision Spraying

Biocontrol Delivery

Edge AI Computing

Digital IPM Platform

Sustainability

Why precision is sustainable.

Reduced Chemical Dependency

-41% on Tomato pilots

Increased Pollinator Safety

+28% bee activity index

Lower Input Consumption

Water + fertilizer optimized

Higher Productivity

+14% yield uplift

Improved Sustainability

Scope 3 emissions tracked

Precision Resource Use

mΒ²-level resource allocation

Transform Crop Protection with Precision Agriculture.

Deploy AI-driven hotspot detection and robotic intervention systems to improve yield, reduce costs, and protect ecosystems.

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