Agriculture
January 31, 2024
iDE Treadle Pump
Read SolutionImplemented by
International Development Enterprises
Updated on May 30, 2024
·Created on October 8, 2018
The FarmBeats project is an IoT Platform for data-driven agriculture
The FarmBeats project is an IoT Platform for data-driven agriculture. It uses several unique solutions including low-cost sensors, drones, and vision and machine learning algorithms to help increase farm productivity and reduce costs.
Target SDGs
SDG 2: Zero Hunger
SDG 1: No Poverty
Target Users (Target Impact Group)
Household
Distributors / Implementing Organizations
Microsoft, DJI and Slantrange
Competitive Landscape
Direct competitors include RML Farmer - Krishi Mitr.
Manufacturing/Building Method
The solution uses components already available in the market: sensors, drones, cloud systems
Intellectural Property Type
Copyright
User Provision Model
Unknown
Distributions to Date Status
Pilot projects in the US and India. Potential pilot projects in DRC, China and New Zealand.
Design Specifications
The solution includes soil sensors, video streaming balloons, drones, local farm computers and the Microsoft Azure network.
Technical Support
Unknown
Replacement Components
N/A
Lifecycle
N/A
Manufacturer Specified Performance Parameters
“Availability: The platform should have negligible downtime.
Vetted Performance Status
FarmBeats supports high bandwidth sensors using TVWS, a long range technology. It uses a weather-aware solar-powered IoT base station, and an intelligent Gateway that ensure that services are available in the Cloud and offline. It also incorporates path-planning algorithms that extend drone battery life. (Vanish, D. et al)
Safety
N/A
Complementary Technical Systems
N/A
Academic Research and References
Vasish, D. et al: FarmBeats: An IoT Platform for Data-Driven Agriculture.
Lawless, Joe (2018): “Microsoft and the Future of AI“. MICCSR Case Studies. 12
Kapetanovic, Z. et al (2017): “Experiences Deploying an Always-on Farm Network”. GetMobile: Mobile Computing and Communications archive. Volume 21 Issue 2, June 2017. Pages 16-21
“FarmBeats: AI, Edge & IoT for Agriculture.” 2016. Microsoft Research. June 17, 2016. https://www.microsoft.com/en-us/research/project/farmbeats-iot-agriculture/
“Thethings.IO – Agriculture IoT Solution Success Case.” 2019. TheThings. July 7, 2019. https://thethings.io/iot-agriculture/
“Home.” 2023. The Yield. September 12, 2023. https://www.theyield.com/
“Goal 2.” n.d. Sdgs.Un.Org. Accessed May 28, 2024. https://sdgs.un.org/goals/goal2
“Microsoft Planetary Computer.” n.d. Microsoft.Com. Accessed May 30, 2024. https://planetarycomputer.microsoft.com/
N.d. Microsoft.Com. Accessed May 30, 2024. https://www.microsoft.com/en-us/research/wp-content/uploads/2017/03/FarmBeats-webpage-1.pdf
Compliance with regulations
The solution uses unlicensed, long-range TV white space radio spectrum using FCC certified Adaptrum ACRS radios
Evaluation methods
Academic research done in two farms of the US
Other Information
Chandra, R. “FarmBeats: AI & IoT for Agriculture: enabling affordable data-driven farming”
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