Three stories of developers leveraging Intel and Google’s capabilities to make our planet a better place to thrive.
Determining Plant Disease
In a world where millions of people do not have enough food to consume, we see another problem — that of crop degeneration due to pathogens. To resolve this problem, an independent developer has made a computer vision module to help farmers detect crop damage early.
The project began with the collection of plant data from Google images and ended with the development of an AI model to save crops from pathological diseases. The two main technologies leveraged for this project were –
- TensorFlow, that helped to apply Machine Learning and Deep Learning to the project
- Intel’s Open Vino, that brought in Neural Network attributes to the project
The model which was run on an Intel 7th Gen i5 NUC mini PC could now determine disease indicators, its causes, and its cure.
Impact of Deforestation on Plants
An independent developer has built a system by combining TensorFlow and Intel’ Neural Compute Stick (NCS) so that environmentalists can understand the Impact of Deforestation on Plants. Initially, leveraging TensorFlow, satellite images of the earth’s surface were segregated in three segments –
- Plant type
This model was optimized using Open Vino and ran on Intel’s Neural Compute Stick. The completed model could study this phenomenon real-time — the study was carried in Amazon’s rainforests.
Clean Drinking Water
The ‘Clean Water AI’ was initiated to leverage pattern recognition and machine learning in order to find the bacteria percentage in drinking water.
The apparatus for this project consisted of –
- A digital microscope
- A regularly configured laptop with Ubuntu as its operating system
- Intel’s NCS
Neural network abilities placed in the heart of this project could easily detect the presence of harmful Escherichia coli and cholera-causing bacteria.