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Inspire Winners

Demonstrating the power of big data analytics through inspiring and innovative projects

The Inspire Challenge encourages the use of big data approaches to advance agricultural research and development. The winners are groundbreaking innovations with real potential for developmental impact, have mobilized underused or misused data, and demonstrate meaningful partnerships with CGIAR and other sector members.

The Inspire Challenge has awarded a total of 1.5 million USD to date to 10 innovative pilot projects and three scale-up grants to Challengers using big data approaches to advance agricultural research and development.

Machine learning for smarter seed selection

Machine learning for smarter seed selection

The project will develop a system that uses vast amounts of data – including satellite images, performance data, and weather ...
Seeing is believing - Using smartphone camera data

Seeing is believing – Using smartphone camera data

Pictured-based advisories have improved the correlation between insurance payouts and the damage that farmers experience. Farmers are therefore willing to ...
CubicA, the new farmer advisory app

CubicA, the new farmer advisory app

The project has developed a farmer hotline called CubicA, which delivers highly tailored information to callers thanks to a machine-learning ...
An integrated data pipeline for smallscale fisheries

An integrated data pipeline for smallscale fisheries

The project is building an automated data pipeline to help uncover the hidden contribution of small-scale fisheries in Timor Leste ...
Real time diagnostics for devastating wheat rust

Real time diagnostics for devastating wheat rust

The project has developed an affordable, mobile in-field pathogenomics platform called MARPLE (Mobile And Real-time PLant disEase), which provides extremely ...
Farm.ink: Analysing livestock social media data for farmer chatbot

Farm.ink: Analysing livestock social media data for farmer chatbot

The project has built a Facebook community called Africa Farmers Club and mobile chatbot service. A survey of chatbot users revealed ...
Revealing informal food flows through free WiFi

Revealing informal food flows through free WiFi

The project is offering free Wifi at two traditional markets in Hanoi, Vietnam to monitor food flows at and between ...
Using Commercial Microwave Links (CML) to estimate rainfalls

Using Commercial Microwave Links (CML) to estimate rainfalls

The project will demonstrate the potential of using recent advances in Commercial Microwave Links (CML) technology to estimate rainfalls in ...
Pest and disease monitoring by using artificial intelligence

Pest and disease monitoring by using artificial intelligence

The project expects to radically transform pest and disease monitoring by using artificial intelligence (AI), advanced sensor technology and crowdsourcing ...
Using IVR to connect farmers to market

Using IVR to connect farmers to market

The IVR market service will help aggregate and formalize the value chain by (1) increasing farmers marketability and bargaining power, ...