Precision agriculture & agri-tech

Precision agriculture employs digital tools—GPS, IoT sensors, drones, and machine learning—to observe, measure, and respond to inter- and intra-field variability in crops. Instead of applying water, fertilizers, and pesticides uniformly, farmers use Variable Rate Technology (VRT) to target specific zones, cutting fertilizer and pesticide use by 15–30 percent while lifting yields 5–15 percent on average through optimized planting and care.

The key directions of precision agriculture are:

1. RTK-GPS Positioning: Real-Time Kinematic GPS delivers centimeter-level positioning of tractors and implements, the spatial foundation for every downstream precision step.
2. Remote Sensing & IoT: Multispectral and thermal imaging (satellites, drones) plus ground-based soil-moisture probes capture crop vigor and field variability.
3. Variable Rate Technology (VRT): Smart sprayers and seeders adjust output in real time from GPS-linked prescription maps, targeting inputs zone by zone.
4. Autonomous Machinery & See & Spray: Driverless tractors and edge-computing sprayers identify and treat individual weeds in milliseconds.

Sectoral value chain#

[Field Sensors] ──> [Remote Sensing] ──> [Analytics & AI] ──> [Decision Maps]
                              │
                      (Prescription Generation)
                              │
                              ▼
[Profitability Maps] <─── [VRT Application] <─────┘

Value chain levels#

Cross-cutting technologies of the sector:

• Remote Sensing: Multispectral, thermal, and NDVI imaging from satellites and drones to assess crop vigor.
• Variable Rate Technology: Real-time, GPS-linked adjustment of inputs across management zones.
• Agri-IoT: Soil-moisture probes and connected devices streaming field conditions to the cloud.

The foundation of precision agriculture is spatial technology; RTK-GPS enables centimeter-level positioning, while AI and machine learning digest massive datasets into actionable prescription maps.

1. RTK-GPS & ISOBUS Connectivity:
   • Real-Time Kinematic GPS provides centimeter-level tractor and implement positioning.
   • ISOBUS (ISO 11783) interoperability lets machinery and displays from different vendors communicate, easing data fragmentation.
2. Remote Sensing & Agronomic AI:
   • Multispectral, thermal, and NDVI imagery from satellites and drones feeds cloud AI that predicts disease outbreaks and optimal harvest windows.
   • Turns imagery into prescription maps for zone-specific input management.
3. Variable Rate Technology & See & Spray:
   • Smart sprayers and seeders adjust output in real time from GPS-linked prescriptions.
   • Edge-computing See & Spray systems identify and treat individual weeds in milliseconds, with sensor/drone networks priced $1K–$10K.