Agriculture

Consumers worldwide have different expectations for tabletop grapes than for wine grapes, so harvesting robots must use machine learning to pick the right ones and ensure quality.

An AI strategy can be directed by the central government, focus on regional hubs, or pursue a particular niche market. In addition, we look at how machine learning can be localized.

Advances in artificial intelligence are making robots smarter at pick-and place operations, drones more autonomous, and the Industrial Internet of Things more connected. Where else could machine learning help?

From IBM's forecast of the future and virtual reality to advice for startups, check out RBR's most popular robotics news and analysis pieces of the past month.

Scientists have been copying nature to develop pollination drones that can assist real bees and human farmers.

AI funding takes the top seed this week, but self-driving cars and drones stay in the game.

Agricultural drones include heavy-lift ones for crop dusting, drones with multispectral sensors for surveying crop health, and new ways of monitoring crops and livestock. This infographic from Dronefly looks at the state of agricultural drones.

Spring is on the way, with drone and IoT matches, a big ETF purchase, and industrial automation the subject of the past week's robotics transactions.

We can see clearly now that automation transactions in early 2018 will build on a familiar pattern of investment in AI, the mobility market, and industrial automation. The question remains as to which companies will lead and which will be...

This week's Robot Investments Weekly looks at companies that successfully raised funds for aerial drones, driverless vehicles, and AI for business use.