Aerial crop monitoring for precision agriculture
40°25′N / 03°42′W

Understanding
plant intelligence.

ZNiR Sensing SolutionsScroll to decode ↓
Rows of suspended tomato plants inside a high-tech glass greenhouse

One living system.
Three different
approaches to
understanding.

01 / OBSERVE

Hyperspectral
& thermal.

Read plant response beyond visible colour, from VNIR and SWIR reflectance to thermal dynamics.

02 / MEASURE

Laser scanning
& LiDAR.

Capture geometry, architecture and structural change through precise three-dimensional measurement.

03 / UNDERSTAND

Computer vision
& AI.

Connect images and field data through predictive models, machine learning and deep learning.

Technology is useful only when it supports better decision-making.

Data Acquisition

Field capture across hyperspectral, thermal, LiDAR and video systems, synchronized to preserve spatial and temporal context.

Processing

Calibrated, quality-controlled pipelines convert raw sensor streams into aligned, comparable datasets.

Modeling

Machine-learning, deep-learning and physically-based models quantify traits, detect patterns and estimate future states.

Decision Making

Validated outputs translate evidence into actionable recommendations for agronomic operations and research.

Two areas of expertise.
One standard of quality.

PRODUCTION

Farmers and cooperatives

Field
operations.

  • 01Crop mapping and monitoring
  • 02Inventory and 3D structure
  • 03Early detection of water and nutrient stress
  • 04Early detection of pests and diseases
Discuss production services ↗
RESEARCH

Trials

Research
& development.

  • 01Digital phenotyping
  • 02Multimodal sensor capture
  • 03Precision modeling
  • 04Tailored algorithms and AI development
Discuss R&D capabilities ↗
Precision agriculture begins beyond sight.