Home News Developers are solving earth’s biggest challenges with Intel’s AI tools

Developers are solving earth’s biggest challenges with Intel’s AI tools

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Source: ETCIO

Intel’s AI tools have fueled many developers to create AI solutions that are capable of solving our planet’s biggest problems.

According to the Food and Agriculture organization, more than 820 people on our planet are undernourished and nearly 20 percent of all fruit and vegetable supply is lost during production.

To enhance the crop harvest rates, Rishab Biswas, a West Bengal-based developer, created a computer vision application to help farmers more easily detect pathological disease in their plants and then treat them.

Biswas used TensorFlow–a machine learning framework– and Open Vino–Intel’s neural network optimization toolkit for building the model which identifies pathogens with 95 percent of accuracy.

Biswas isn’t the only developer who is using the latest technology for saving the planet. Unavailability of clean and healthy drinking water is the reason of a newborn’s death, every minute, according to the World Health Organisation.

To mitigate this issue, developer Peter Ma developed Clean Water AI application that detects harmful bacteria in water in real-time. Ma’s prototype is powered by the Intel Movidius Neural Compute Stick and has a 95 percent accuracy rate.

For the solution (which costs around USD 500), Ma used a microscope, connected it with a Ubuntu based laptop and Intel’s Movidius Neural Compute Stick. Ma now plans to create the entire solution into a single IoT device, which can be placed around water sources across the globe and help in differentiating between healthy or contaminated water.

Between 1990 and 2016, the earth lost 1.3 million square kilometers of forest area. To help combat this challenge, developer Rose Day developed a unique approach to categorize images of the earth’s surface taken by satellite and labeled by location, plant growth, and deforested areas.

Using TensorFlow for image classification, Intel’s Open Vino toolkit to optimize her model, and the Intel Movidius Neural Compute Stick to conduct real-time monitoring of the earth’s surface. Day’s Collected data shows the significant impact of human behavior on plant life over time, including changes in the types of plants that grow, deforestation effects, and how plant life is forced to adapt.

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