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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
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