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
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.
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
From scan to verified outcome, in 24 hours.
Six tightly-orchestrated stages β every action logged, every effect verified.
Scout
Continuous field surveillance using drones, satellites, and smart sensors.
Detect
ML models identify pest, disease, weed and nutrient stress hotspots.
Map
Generate intervention-ready field maps with severity classifications.
Intervene
Targeted delivery of biological agents, nutrients or precision sprays.
Verify
Closed-loop verification scans confirm effectiveness within 24 hours.
Report
Automatic generation of intervention logs and sustainability reports.
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.
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
CIDSA Analytics Β· Agni
Hotspot Intervention Outcomes
Tomato pilot Β· 40 acres Β· 60-day cycle
Pest pressure
-62%
vs. baselineYield
+14%
q/acChemicals
-41%
L/acBee activity
+28%
indexPest-pressure trend Β· treated vs. baseline
Index 100 = W0
- Baseline
- Treated
Outcome mix
after 60 days
- Bees β
- Chemicals β
- Pest β
- Yield β
Chemical use Β· blanket vs. micro
L per acre
- Blanket
- Micro
Before vs After
Before
- βHeavy infestation across full field
- βBlanket spraying scheduled by calendar
- βHigh chemical use Β· 18-22 L/ac
- βReduced 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%
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
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