1. Industry Reality
Agriculture involves crop cultivation, irrigation,
fertilization, harvesting, storage,
and primary processing.
Outcomes depend on weather, soil health,
water availability, and timely intervention.
Variability is inherent, but unmanaged variability
leads directly to yield loss and resource waste.
2. Silent Failures in Agriculture
Agricultural systems fail silently through
soil moisture imbalance, nutrient depletion,
delayed irrigation, pest pressure,
and microclimate stress.
These stresses reduce yield and quality
long before visible crop damage appears.
3. Common Industrial Problems
- Unpredictable crop yield
- Water overuse or under-irrigation
- Excess fertilizer and chemical application
- Pest and disease outbreaks
- Post-harvest losses
4. Critical Decision Points
- When to irrigate and how much
- When nutrient levels require correction
- When pest or disease risk escalates
- When to harvest to maximize yield and quality
5. Critical Signals
- Soil moisture and temperature
- Weather parameters (rainfall, humidity, wind)
- Soil nutrient indicators
- Crop health and stress indicators
- Water and energy consumption
6. System Architecture
- Field-level sensors and weather stations
- Edge analytics for localized decisions
- Platforms for farm and plot correlation
- Dashboards for situational awareness
7. Economics of Agriculture IoT
Agricultural intelligence delivers value by:
- Improving yield consistency
- Reducing water and input costs
- Lowering crop loss and rework
- Enhancing resilience to climate variability
Returns appear as stabilized income
and reduced operational risk.
8. Governance & Compliance
Agriculture increasingly faces
environmental, water-use, and sustainability regulations.
Data-driven practices support compliance,
certification, and responsible resource management.
9. Sensor Map
- Soil moisture and temperature sensors
- Weather stations
- Nutrient and pH sensors
- Water flow and pump monitoring sensors
- Energy meters
10. Maturity Path
- Manual observation and experience
- Basic weather and soil monitoring
- Field-level visibility
- Predictive irrigation and crop management
- Adaptive, data-driven agriculture
11. Executive Takeaway
Agricultural success depends on timely decisions
across weather, soil, and crop health.
These decisions cannot rely on intuition alone.
Farms that invest in continuous agricultural intelligence
improve yield stability, sustainability,
and long-term resilience.