Автоматические беспилотные летающие

роботы “Karlsson”

Karlsson autonomous unmanned aerial robots

Leading edge aerial monitoring solutions in agriculture

Overview: A modern approach for precision farming

Traditional Farming Precision Agriculture

● Specific properties of the field are not taken into account when agricultural activities are being conducted

● Inefficient use of natural resources and fertilizers

● Lack of an accurate data about the state of the soil

● Excessive usage of fuel due to inefficient machinery routing

● Accounts for the specific terrain features and soil properties

● Continuous monitoring of the soil state

● Accurate distribution of fertilizers according to the data collected about the soil

● Avoiding harmful environmental effects by systematic soil treatment

Overview: modern farming challenges, solutions and results

● Inefficient use of fertilizers● Absence of customized

approach to soil and crop treatment

● Large workforce and machinery involved in agriculture production

Main challenges

● Monitoring of NDVI spectra leading to targeted application of fertilizers

● Thermal maps creation - spatial data collection system

● Continuous monitoring leading to aggregation of soil data and crop treatment effects

Solution

● Optimized usage of agricultural consumables

● Increase in crop yields● Improvement in quality of

agricultural products● Reduced environmental

effects● Additional data for

agricultural management

Results

Objectives of precision farming: ● increase crop yields● cost-effective use of fertilizers● reduce environmental damage

Application of aerial monitoring: key technologies

Terrain feature detection

NDVI pattern surveying

30% increase in crop yields

20% reduction in fertilizers cost

20% increase in net profit

Precise agricultural machinery routing

Crops monitoring● Data

aggregation● Anomaly

detection

Market size

USA≈ 2 100 000 farms

Total Revenue ≈ $374 billionAgriculture Monitoring Market ≈ $2 billion

Consistent scheduled fields monitoring

Vegetation index map with a 5 cm per pixel resolution

Control over the general state of fields

Import of data to a specialized software packages

Data driven actions:

● Calculated routing for autopilots● Automated crops planting● Targeted fertilization

Karlsson Automated UAV networkMain goal: full autonomy and independence from humans.Solution: autonomous wireless charging stations, mission control center, client system.

UAVs and chargingstation network

Mission control

Telemetry and data

3G/4G networksCloud servers

UAV generated data used for various

purposesMission control center

Max altitude 3000 mFlight speed 0-65 km/hFlight time 15-35 minMax wind speed 25 m/s

Payload (up to 1.5 kg):Camera Sony NEX-7 with diff. filters Thermal camera FLIR Tau 640х480Videocamera GoPro HERO4 FullHD

Technology platform: UAV and charging station

Autonomous wireless charging station with up to 500 W power

Karlsson Project teamPosition Education

Dmitry Korolev CEO / Co-founder MS in Physics MSU

Andrey Grunin CBDO / Co-founder MS in Physics MSU

Pavel Kapralov CTO / Co-founder PhD in Physics, MSU

Ilya Mukha Design Engineer MS in Physics MSU

Nikita Ushakov Business Development MS in Industrial Engineering, Columbia University

Alexander Solovyev Computer Vision Engineer MS in Computer Science BMSTU

Alexey Dolinenko Embedded Systems Engineer MS in Engineering PGTU

Vadim Stukalov Back End Engineer MS in Computer Science BelGU

Vladimir Khodakov Front End Engineer MS DonNACEA

Phone number: +1 (206) 973-99-58+7 (926) 270-59-96

Email: info@karlssonproject.com

Website: karlssonproject.com

Youtube: youtube.com/karlssonprojectVimeo: vimeo.com/karlssonproject