About this document
AI and Data Challenges in Agriculture by Saraswati Dash is a document available to read on EtoBox.
- According to the passage, machine learning requires large amounts of historical data as input to identify relationships and make predictions. Deep learning, a more sophisticated form of machine learning, attempts to mimic the human brain but requires even more data. - The passage uses the example of Intello Labs, an AI startup in India, to illustrate the challenges of developing machine learning products for agriculture due to a lack of data. Intello Labs had to photograph over 2.5 million samples to dev
- Author
- Saraswati Dash
- Language
- EN