Pest and disease monitoring by using artificial intelligence | CGIAR Platform for Big Data in Agriculture

The project expects to radically transform pest and disease monitoring by using artificial intelligence (AI), advanced sensor technology and crowdsourcing capable of connecting the global Ag community to help smallholder farmers. It aims to increase the effectiveness of farm-level advice by leveraging three critical advances: 1) the democratization of AI thanks to open access platforms such as Google’s TensorFlow, 2) the miniaturization of technology allowing affordable deployment, and 3) the development of massive communication and money exchange platforms such as M-Pesa that allow rural extension to scale as a viable economic model enabling last mile delivery in local languages.

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