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IIC Precision Crop Management Testbed - Infosys Industrial IoT Case Study
IIC Precision Crop Management Testbed
The global population is continuing to grow at a rapid pace placing increasing demands on the global food supply. In addition, impacts from climate change and a yearly reduction of available arable land will require the Agricultural sector to develop better ways of increasing crop yields and reducing costs. GOAL The goal for the Precision Crop Management Testbed is to create an environment where IoT solutions with the potential to impact world hunger can be developed.
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IIC - Water Management Testbed - Infosys Industrial IoT Case Study
IIC - Water Management Testbed
The growing water shortage is regarded as the most crucial global challenge, affecting both developing and developed nations at present. Large amount of water is lost in between the point of production and receipt by end users due to leaky pipes and outdated infrastructure. This results in the loss of millions of dollars and huge wastage of such a key resource. GOAL A substantial opportunity exists to reduce the amount of water lost. As water can be lost at multiple points over a wide geographical area, Internet of Things (IoT) technology is particularly well suited to address this problem. The Smart Water Management Testbed will implement a network of real-time sensors (leakage, moisture, and water -flow detection). These will be deployed at high-risk locations across the testbed water infrastructure to reduce the amount of water being ‘lost’ by: • Rapid detection of leaks • Preemptive detection of potential leaks • Precision irrigation of watered areas
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IIC Connected Care Testbed - Infosys Industrial IoT Case Study
IIC Connected Care Testbed
With extended life spans of the world's population comes an increased burden on the world's health care systems. Up to 80% of older adults have at least one chronic health condition that requires continual treatment management. With the advent of accessible IoT technologies, health care providers are now able to access patient remote monitoring and health informatics that can make management of these populations more cost effective and increase the quality of care. However the slow pace of technology adaptation and proprietary solutions among medical device manufacturers makes it difficult for caregivers to implement a cost-effective IoT solution for patients which can bring together all pipelined stages of patients' treatment, from initial diagnosis through lifetime disease management. GOAL To develop an open IoT ecosystem for clinical and remote medical devices that can bring together patient monitoring data into a single data management and analytics platform.
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