01Constraint
2,400 acres treated as a single uniform crop
Precision Agriculture · MultispectralLarge-Scale Agri Enterprise · Agriculture · 2023
Agri Drone Monitoring
Crop health mapped across 2,400 acres. Input costs down 28%.
MultispectralNDVIPrecision AgricultureVariable RateDrone SurveyAgronomy
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The challenge
Complex constraints.Real-world pressure.
Before architecture and implementation, we mapped every operational blocker and business risk. These were the core constraints shaping the entire solution design.
4 critical challenges
02Constraint
Input costs rising with no yield improvement
03Constraint
Pest outbreaks detected weeks after they start
04Constraint
Harvest timing based on calendar, not crop state
What we built
A system built for the problem, not off the shelf.
We established a fortnightly multispectral drone survey programme covering all 2,400 acres. Each survey produced NDVI, NDRE, and NDWI maps within 24 hours of flight — giving the farm team actionable crop health data within a single day.
Zone-specific health maps were translated into variable-rate application prescriptions: GPS-mapped zones were classified into 4 health tiers, and application equipment was programmed with the corresponding variable-rate prescription maps for each zone.
Anomaly detection algorithms flagged potential pest or disease onset patterns at the sub-field level before visual symptoms appeared. Early-intervention protocols reduced the spread of detected problems by 70% compared to the pre-programme baseline.
Capabilities delivered
Every feature with a reason.
01
Fortnightly multispectral surveys
Complete 2,400-acre coverage every two weeks using multispectral sensors. NDVI, NDRE, NDWI maps delivered in 24 hours.
02
Variable-rate application maps
Zone-level prescription maps for fertilizer, pesticide, and irrigation. Compatible with GPS-guided application equipment.
03
Early pest & disease detection
Anomaly detection identifies early-onset stress patterns before visible symptoms. Intervention windows maximised.
04
Crop health trend analysis
Season-over-season crop health comparison at field and zone level. Informs crop rotation and soil management strategy.
05
Yield estimation modelling
In-season crop density and health data used to generate harvest volume estimates 6-8 weeks before harvest date.
06
Agronomy reporting
Structured reports with annotated maps, trend analysis, and actionable recommendations delivered to farm management.
Measured outcomes
Numbers that changed how they operate.
−0%
Input cost reduction
0days → 3 days
Pest outbreak detection time
+0%
Yield improvement
0
Acres covered per survey
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