TalentCloud, a “smart” agricultural company is using a Microsoft Azure-based AI solution for sustainable farming.
A report on the Microsoft blog speaks of TalentCloud, founded in 2012. The company has used these technologies into its Agro-Brain solution, and are using it for the betterment of Chinese farmers.
Just as TalentCloud data scientists are more productive as they create the models that power the solution, Chinese farmers are also safely increasing their effectiveness, reducing pollution, and stepping up food safety, says the Microsoft post.
While few shoppers may have heard of Agro-Brain, it is a valuable tool for farmers. It provides full visibility into crop status and recommendations based on the latest agricultural science. All of which means less pollution and use of pesticides, higher quality and safety, and wins for everyone, from producer to consumer to the environment.
TalentCloud’s Agro-Brain solution helps farmers shift to data-centric practices. It creates a closed-loop information system, combining real-time data collection in the field with plant science data that describes the entire life cycle of food crops, including related information about threats like pests, diseases, and growing conditions. The combination gives farmers access to up-to-date, customised crop management recommendations.
TalentCloud uses Microsoft products and services to optimise a four-part system that collects an array of data points — including soil conditions, air temperature, and humidity — from the field via IoT sensors. Camera images of crops and mobile device data supplement quantitative data. Sensors connect directly to Azure IoT Hub, which feeds data into Azure Machine Learning, rapidly training the models created by TalentCloud data scientists.
The automated machine learning capabilities in Azure Machine Learning accelerate model development, creating faster operational plans and forecasts for farmers, says the Azure team.
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Image credit: TalentCloud