INDUSTRIES

PRECISION  AGRICULTURE  INTELLIGENCE 

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Overview

Remote-sensing for agriculture can provide significant improvement in farming practices, increase yields, unlock smart farming, or monitor illegal crops. Our multi-sensor applications, including hyperspectral sensing, offer a multifaceted outlook.

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Classification

We classify crops across targeted areas and regions. This can support (a) agricultural public institutions with knowledge and data for evidence‑based policy, (b) private entities monitoring adherence to farming plans, and (c) law‑enforcement mapping of potential illegal crop operations.

 

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Chlorophyl & Water Estimates

By applying standard indices and combining optical and SAR data, we estimate chlorophyll and water content in farm fields. Tracking these metrics over time helps identify poor yields, crop diseases, pest outbreaks, deteriorating soil conditions and emerging droughts.

What you get?

Crop Classification Maps

Maps with crop labels and statistics by plot or region, supporting evidence‑based decision‑making for public bodies and monitoring compliance with planting plans.

Vegetation‑Health & Moisture Maps

Raster layers of chlorophyll and water content derived from optical and SAR data, useful for detecting stress, diseases and drought.

Alerts for Anomalies

Automated notifications of unexpected changes (e.g. newly formed fields or suspected illegal crops) enabled by TRULY’s detection algorithms.

Integration with the TRULY Platform

Access to the TRULY platform offering more than 50 detection algorithms, multi‑source data ingestion and the ability to task satellites or drones.

Multi‑Sensor Workflow

Use of satellites (optical and SAR), hyperspectral sensors and drones—satellites provide a synoptic overview, while drones and hyperspectral sensors deliver detailed verification.

Secure Delivery & API Access

Data and map outputs can be accessed via API or GIS services; TRULY supports role‑based access, audit trails and encryption.

Questions and Downloads

How does remote sensing benefit agriculture?

Remote sensing gives synoptic, multi‑temporal data on crops, moisture and soils. It improves farming practices, yields and enables precision agriculture and early detection of illegal crops.

What is crop classification used for?

Classification maps crop types across regions. Public institutions use them for evidence‑based policy, private entities for adherence to farming plans and law enforcement to map illegal crop operations.

Why estimate chlorophyll and moisture from satellites?

Combining optical and SAR data yields chlorophyll and water‑content estimates. Tracking these metrics helps identify poor yields, diseases, pest outbreaks, soil degradation and droughts.

Hero Image Credits

TRL Space Hyperspectral Imagery 2023

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