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GOLDEN PADDY PLATFORM

Through a mobile application, web application and Facebook page the Golden Paddy Platform provides digital services to smallholder farmers and organisations. Through ICT it is able to connect, collect and deliver services in the agricultural value chain. Leveraging mobile technology it is also able to collect data and provide insights. Golden Paddy increases crop production through the sharing of leading agricultural knowledge and specific, real-time recommendations, expands markets connections and opportunities and facilitates access to improved (formal) financing opportunities for smallholder farmers.

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Our technologies

 
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Information & Communication Technology

Mobile application, web-application and dedicated Facebook page

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Data Analytics &
Processing

Big Data insights, crop prediction modeling, remote sensing data

 

Golden Paddy Mobile Application

(Information & Communication Technology)

An easy to use mobile application built for Android that provides farmer families with all the daily practical information they need. The size of the Golden Paddy application is very small, less than 7MB. Limited data usage through sophisticated cashing and downloading protocol. The services on Golden Paddy are offline available, personalised on location and crop. We trigger services through messages which direct to several functionalities.

An easy to use mobile application built for Android that provides farmer families with all the daily practical information they need. The size of the Golden Paddy application is very small, less than 7MB. Limited data usage through sophisticated cashing and downloading protocol. The services on Golden Paddy are offline available, personalised on location and crop.

 

Key features:

  • Weather section

  • Market Price overview

  • Knowledge section

  • Pest & Water risk alarms

  • Buying & Selling

  • Shop profiles

  • Timely alerts

 
 

 

Golden Paddy Analytics Platform

(Data Analytics & Processing)

Through the Golden Paddy app we are able to track user behaviour in the app. By complimenting this with self-reported data and adding insights from our crop prediction models, for instance, we can create customised reports and allow real-time tracking our any number of users to 3rd party service providers.

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