Google Uses Artificial Intelligence to detect plant diseases
How Google Uses Artificial Intelligence to detect plant diseases ?
PlantVillage and the International Institute of Tropical Agriculture (IITA) are using machine learning to help farmers grow better cassava, a crop that provides food for over half a billion people daily.
Cassava is a really important crop for African People. It provides for over 500 million Africans every day. Cassava is a good source of nutrients. It can withstand harsh conditions. And because of that, a lot of people are farming it. There are several diseases that affect cassava, and they make the roots inedible. These diseases are reducing the cassava crops by between 40% and 100%. So Scientists at Google are trying to use machine learning to respond to those diseases. The app that they've designed can diagnose multiple diseases. You wave your phone over a specific leaf, and if it has a symptom, a box will pop up saying you have this problem. When you get a diagnosis, you learn about the best management practices. These crops are grown in a very rural location. People don't have access to internet. And TensorFlow is the only platform out there that can allow Google to build these advanced models but deploy them onto a phone.
Because out in the field, we need to give the farmers the access to the information immediately. So with AI tools and machine learning, you can grow more crops. You can protect them, and you can have a much more reliable source of food. AI offers the prospect to fundamentally transform the lives of hundreds of millions of farmers around the world. You can see a product that can actually make someone's life better. This is kind of revolutionary.
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