A self-caring planting system controlled by AI, New Garden

A self-caring planting system controlled by AI, New Garden

New Garden  AI planting Taiwan CES 2021

Every year at CES, the global stage for innovation, you see some ‘oh wow’ breakthrough technologies. This AI-powered planting system by New Garden Co., Ltd., a Taiwanese startup is one. Meet the ULTRON Smart AI Gardener, a self-caring planting system controlled by AI.

It is a self-caring plant container with AI service supported by the UltronSMART Agriculture Platform and App. The platform supports real-time collection, process, analysis, and visualization of data from various IoT devices. Leveraging a technology it calls AIoT ecosystem.

The plant pot [conatiner] is embedded with smart lighting, a watering system, and multiple connected sensors. Which can be taken as a microcosm of a Cloud-to-edge Smart Agriculture System powered by ULTRON.

New Garden says, by cooperating with agriculture experts, the UltronSMART AI Gardener can automatically grow any plants with almost zero effort.

Taiwan Tech Arena (TTA) selected the company as one of the 100 featured Taiwanese startups to showcase at CES 2021.

Check out how the AI powered smart garden works from the video below. Tell us what you think as well in the comments.

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Check out other stories making the news across Africa and Middle East region.

Using AI, Edge, IoT for Agriculture, Microsoft FarmBeats addresses the challenges of farmers in Africa, starting in Kenya

Using AI, Edge, IoT for Agriculture, Microsoft FarmBeats addresses the challenges of farmers in Africa, starting in Kenya

An area of focus in Microsoft’s research is Agriculture. Microsoft research scientists are focusing on unleashing the future of agriculture using data driven techniques called precision farming. The process involves using broadband connectivity through TV whitespaces, connected to IoT sensors that enable data driven farming. These data when collected over time will help farmers improve their yields and lower costs. This initiative from Microsoft is called FarmBeats.

Piloting FarmBeats in Africa

Microsoft is expanding the pilot program of FarmBeats to Africa, starting in Kenya. The program in Nairobi will be focused on addressing the specific challenges of farming in Africa with the intent of expanding to other African countries.

Data-driven digital agriculture


AI doesn’t replace human knowledge; it augments it

Satya Nadella

Satya Nadella, Microsoft CEO says “AI doesn’t replace human knowledge, it augments it. Talking about Microsoft FarmBeats initiative he shares that “Data from low-cost sensors in soil and drones with machine learning algorithms work with farmers’ knowledge and intuition to help them gather and parse data about their farms. Informing what, when, and where to plant in order to drive the highest-possible yields and reduce costs”.

Microsoft FarmBeats will help farmers benefit from technology innovation at the edge. Microsoft says although technology could help the farmer, its adoption is limited. This is majorly due to farms not having power, Internet connectivity on the farms and farmers not technology savvy.

To address this Microsoft says “We are working towards an end-to-end approach. From sensors to the cloud, to solve the problem. As part of the FarmBeats project, we are building several unique solutions to solve these problems using low-cost sensors, drones and vision and machine learning algorithms“.

Bill Gates visited a pilot site and shares his experience in the video below.

If you are a student, there is a Student Kit that will help you learn about precision agriculture.

Now on Azure Marketplace

Microsoft releases FarmBeats on the Azure Marketplace to help farmers with low-cost agtech solutions. Azure FarmBeats in the Azure marketplace will be a business-to-business offering. Offered at no additional charge and users will only pay for the Azure resources used. It will include a Datahub. (An API layer that enables aggregation, normalization, and contextualization of various agriculture datasets across providers). As well as an Accelerator. (A sample solution, built on top of Datahub, that jumpstarts your UI and model development).