I was a part of a project which aimed to simplify access to health care for half-a-million residents in the DC area. The learning was exceptional. I got to wear multiple hats and worked across multiple streams architecture, functional, organization change management. Looking forward to learning more in the upcoming projects.
It aims to do 3 things: Once enough data is gathered, the machine learning system will anticipate the needs of each plant to promote as much growth as possible. Sastry Engineering Consultant, Infosys Limited Flexibility Plant IO was built as a prototype system, so we designed it to be assembled and disassembled quickly in the event that changes needed to be made.
We chose to use affordable and readily available materials, such as PVC piping, plastic buckets, and garden tubing and accessories, so that parts could be easily replaced or revised.
Adaptability Because we wanted to individually control 20 plants, we started by narrowing down the variables we wanted to control. We decided to focus mainly on what we could control through the water that we gave each plant — watering frequency, nutrient level, and pH level — as factors, such as temperature and humidity, are harder to control and remain fairly constant in an indoor office setting.
This helped us determine what kind of sensors we needed as well as what hydroponics system best suited our needs. Drip System For us, the drip system for hydroponics was the most suitable since it allowed us to control the watering of every plant separately.
The drip system utilizes a water reservoir from which water is pumped and sprinkled onto the plant, like in a normal sprinkler system, after which the water that drains from the pot is recycled back into the water reservoir. In our system, each plant sits on top of its own water reservoir bucket where a pump pumps water directly up to the plant which later drains water directly back into the water reservoir bucket.
This is supported by a PVC pipe frame that holds the light for the plant and the peristaltic pumps that we use to feed nutrient and pH solutions into the water. Electronic System On the electronics side, the brains of our operation are Particle Photon boards and a central machine-learning server.
The Particle Photon boards we used are essentially Arduino-based boards with built-in wireless connection. This allowed the boards to collect data from the pH and electrical conductivity sensors, which we used to measure nutrient level, and send that information through the Particle cloud service to our central machine-learning server.
The server could then send control instructions back to the Photons to change the variables that we wanted to control. We kept the low level control and maintenance of the plants on the Photons while the central machine-learning server did the heavy lifting of data analysis.
For growth information, the server pulled from a setup of webcams that we implemented to roughly measure the height of each plant through image processing. With this data, growth models could be built for each plant. Students build the physical systems from the Plant.
By providing access to software and hardware resources, we want to encourage students to grapple with fundamental questions and experiment with new possible answers. Learning to Code Code is in many ways the new literacy for our digital age, as technology accelerates the transition from an industrial economy to a knowledge economy.
Interacting with their plants and digital farms through 3D game-like user interfaces or through Microsoft HoloLens are fun yet powerful ways to show students what code makes possible. This begins with the students themselves, as we look to collaborate with them to co-create and improve the Plant.
But we can go further by partnering with nonprofit organizations to drive new programs and open up greater access to digital technology to help students foster their love of learning.
Open Source It is essential that Plant. Open source encourages collaboration without boundaries, access without privileges, and knowledge without hierarchies.
We want students to be able to hack the system and in turn share these hacks with other communities. Open source thus enables the Plant. Plant IO guides students to build their own plant growing system, monitor the growth and cooperate with their classmates.
Additionally, with game-like interface, students would fall in love with making, coding, and experimenting. From the industry to education, we are designing a meaningful game for pupils and students to learn the technology, to participate with their classmates and to explore more and more.
As data was collected, a growth model was built, after which the system could test whether or not its learning fit the actual growth of the plants.
If there were inconsistencies, it refined and retested its model. We wanted to see how augmented and mixed reality could be used to reimagine the digital experience for agriculture — and ultimately, for different industries.
Capable of monitoring the plants, give them water, adjust the pH levels, and help them grow. It also encouraged experimentation with augmented reality as the concept of the project is about the interaction of a physical system and its digital twin.
It allows the user to recreate and control the experience while away in a different location, while also enriching the experience through visualizing data from the cloud.
Our world is being fundamentally transformed by digital technology, across every industry and across every walk of life, through the rapid proliferation of intelligent systems, connected machines, and responsive products and services. A Future Enabled by Automation and AI It is our mission at Infosys to lead this transformation on a global scale, by amplifying our human capabilities through automation and artificial intelligence, which will free us — our bandwidth and our creativity — to pursue higher-value problems.
A Future Realized by Innovation In this way, we actively push the boundaries of digital innovation to create value for our customers, dissolving complex, intermediary layers, and bringing intelligence and empowerment directly to the end-points.We are bringing system to seeds! srmvision.com is an open source, plant-growing platform.
With srmvision.com, we aim to bring new forms of software-driven intelligence and interaction to the plant growth cycle, while using easy-to-source, off-the-shelf hardware to house, incubate, and monitor the germination of plants. Infosys’ blog on industry solutions, trends, business process transformation and global implementation in Oracle.
srmvision.com is tracked by us since September, Over the time it has been ranked as high as in the world, while most of its traffic comes from . In management, information technology consulting (also called IT consulting, computer consultancy, business and technology services, computing consultancy, technology consulting, and IT advisory) as a field of activity focuses on advising organizations on how best to use information technology (IT) in achieving their business objectives.
Infosys Ltd is engaged in consulting, technology, outsourcing and next-generation services. It offers software re-engineering, maintenance, systems integration, package evaluation and implementation and infrastructure management services. Apoorva Kandya. Consultant. I joined Infosys Public Services as a Business Consultant in August and it has been a great journey since then.
I was a part of a project which aimed to simplify access to health care for half-a-million residents in the DC area.