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1 year ago
Agritech: Monitoring cattle with IoT and Edge AI - Imagimob

Farming with AI on the Edge -- a write-up on collecting movement data from beef cattle from one of the AFarCloud 2nd year demonstrators, first article from Imagimob in a series aimed to cover ... See more

How to sample high-resolution biometric data, use low-powered, long-range networks (LPWAN) and still achieve high-quality results while powered by trickle-feed battery power alone? By using Edge AI ... See more

1 year ago
Alphabet’s latest moonshot is a field-roving, plant-inspecting robo-buggy – TechCrunch

Google out harvesting far beyond our internet searches -- Alphabet in the field!

Alphabet (you know… Google) has taken the wraps off the latest “moonshot” from its X labs: A robotic buggy that cruises over crops, inspecting each plant individually and, perhaps, generating ... See more

1 year ago
IoT-Based Cow Health Monitoring System

IoT for learning more on daily lives of cows at the AgroTak Zagrodno dairy farm in Lower Silesia in Poland #ICCS2020

Good health and wellbeing of animals are essential to dairy cow farms and sustainable production of milk. Unfortunately, day-to-day monitoring of animals condition is difficult, especially in large...

1 year ago
Responsible AgriTech | ESA Business Applications

"This Kick-Start activity aims to stimulate the development of space enabled agritech value chain applications to tackle in a responsible manner the agricultural challenges of 21st century. Three key ... See more

During the last century, food production has seen technological breakthroughs such as mechanization (e.g. tractors) and chemicals application (e.g. fertilizers, herbicides, insecticides, fungicides, ... See more


 

ECSEL Project Number

0
 
 

Start Date

00 September 2018
 
 

End Date

0 November 2021
 
 

Partners

0
 
 

European Countries

0
 
 

Total Cost

0.27 M€
 
 

EU Funding

0.7 M€
 
 

National Funding 

0.18 M€
 

ECSEL MASP Coverage: Cyber-physical Systems

 

8.1 Principles, Architectures and models for dependable CPS

8.2 Enabling technologies for autonomous, adaptive and cooperative CPS

8.3 Computing Platforms including hardware, software and communication

 
 

Project Coordinator

José-Fernán Martínez (UPM) 

 

National Funding Authorities

 
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This site is part of the project PCI2018-092965 funded by
MCIN/AEI/ 10.13039/501100011033 and by the European Union

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Farming Revamped

Farming is facing many economic challenges in terms of productivity and cost-effectiveness, as well as an increasing labour shortage partly due to depopulation of rural areas. Furthermore, reliable detection, accurate identification and proper quantification of pathogens and other factors affecting both plant and animal health, are critical to be kept under control in order to reduce economic expenditures, trade disruptions and even human health risks.


Distributed Platform

AFarCloud will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real time data mining techniques.

The AFarCloud project also aims to make farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh, thus opening up new applications and ensuring re-usability, as heterogeneous standard vehicles can combine their capabilities in order to lift farmer revenue and reduce labour costs.


Multiple Demonstrators

The achievements from AFarCloud will be demonstrated in 3 holistic demonstrators (Finland, Spain and Italy), including cropping and livestock management scenarios and 8 local demonstrators (Latvia, Sweden, Spain and Czech Republic) in order to test specific functionalities and validate project results in relevant environments located in different European regions.


AFarCloud outcomes will strengthen partners’ market position boosting their innovation capacity and addressing industrial needs both at EU and international levels. The consortium represents the whole ICT-based farming solutions’ value chain, including all key actors needed for the development, demonstration and future market uptake of the precision farming framework targeted in the project.