Solving the global food problem through space-borne hyperspectral imaging and AIs

ESTABLISHED

2016

PERSONNEL

6

Missions

[ FIELDS OF OPERATION ]

Nanosatellites Space-basedservices

History in short

202020192016 2017 20182012

First Finnish satellite being built (Aalto-1)

Reaktor Space Lab founded

First Finnish satellite launched (Aalto-1)

Reaktor Hello World launched

Four on-going ESA projects (W-Cube, Sunstorm, APEX, NCP-1)

First Finnish satellite ordered by ESA (W-cube)

High-res HSI imager prototype developed

High-res HSI imager satellite development started

1

2

1

2

First version of visual range HSI onboard

Infra-red HSI imager onboard

W-Cube: 75 GHz millimeter wave in-orbit demo

Sunstorm: Miniature x-rayspectrometer in-orbitdemo

Reaktor Hello World: World’ssmallest IR spectral camera in orbitsince 2018

UPCOMING: Hera asteroidmission

Our Unique Value Proposition

We will be the No. 1 global source for actionable green data for ensuring food

for mankind in a sustainable way.

Global ecological challenge

20502010

10Bpeople in

2050

56%increase in food demand

2010

2050

With current production ratio, agriculture requires +6 000 000 km2

,an area larger than the Amazon rainforest

50%of Earth’s vegetated landused by agriculture

Source: World Resources Institutehttps://www.wri.org/publication/creating-sustainable-food-future

-67%decreased emissions to meet the global goals

20502020

13 GtCO2

4 GtCO2

Climate change causing challenges to existing farmlands:

• Pests• Diseases• Adaptability• Drought

To induce changes, one needs to have comprehensive, global and daily data on vegetation and soil!

Hyperspectral imaging• Every pixel in an image is a spectrum =>

hyperspectral camera produces data ‘cubes’

• One then extracts distribution of subtances by means of statistical algoritms and AI

• Currently used widely especially with drones and airplanes, Senop and Specim produce such cameras in Finland, VTT very active in development

• Typical applications areas: precision agriculture, fertilizer optimization, crop type mapping, seed development, phenotyping, disease detection and many more

Reference

Single band

Analysis

Our approach

Constellation of small hyperspectralsatellites to provide global, daily data

Comparable performance to previous larger scientific satellites

Miniature hyperspectral imagers

High ground resolution (20 m) with good enough SNR

Advanced (AI/ML) analytics

Extensive ground truth data

Affordable service

Can hyperspectral data help?”Bringing yields of the 16 major crops to within 95% of their full potential yield would increase global production by 58%” (Foley et al. 2011)

Space-based data

Drone-based dataIncreased yield

+30%*

By precision farming and anomaly detection

Decreased costs-10%*

By reducing fertilizers, pesticides and manual monitoring work

+15%*Reduced environ-mental impactBy improving N-efficiency at least 15 percent.

Better qualityPrecision farming has been proven to provide better crop quality, for example higher protein content

*depends on crop and currently used practices

- Multi- and hyperspectral sensors

- Limited coverage

- High costs per sqkm

- Multispectral data widely available (f.ex. Sentinel-2)

- Hyperspectral data not so much

- High coverage and global

- Low costs per sqkm

Suitable for high value crops

Suitable for global agricultural use

So where do you need “AI”?Lots of Data

Multiple instruments

Atmosphe-ric effects

Weather

Lighting compen-

sationPerspec-

tive

Evolving plants

Crop and soil cross-

effects

Pheno-typing

…And multitude of applications!

Hyperspectral-enabled agri services

Advanced crop nutrition

- Improved biomass estimation

- Crop type and variety Fertilizer content in vegetation and soil

- Soil properties

Precision watering

- Soil properties- Soil and vegetation

moisture content- Weather forecasts*- Soil sensors*

Optimized seed selection, planting and

harvest

- Soil properties- Crop type and variety- Vegetation cover- Biomass estimation- Harvest time

optimization

Early warning crop protection

- Crop type and variety mapping

- Disease detection- Pest detection- Soil contamination- Weather forecasts*

*Through cooperation partners

Please contact:

Jarkko AntilaCEOReaktor Space LabEspoo, Finland

Phone: +358 50 529 88 76Email: jarkko.antila@reaktorspace.com

Want to know more?

Confidential 2020

Hyperspectral imaging in news:https://spacenews.com/op-ed-is-hyperspectral-the-next-earth-observation-frontier/

Company website:https://reaktorspace.com/

Reaktor Hello World mission:https://reaktorspace.com/reaktor-hello-world/