The future of farming was on display at the recent "First China Agricultural Robot Innovation Competition" as teams from universities, scientific research institutes and technology companies showcased their innovations.
While applications like autonomous driving get most of the headlines around AI, this technology has become essential to the fabric of our digital lives.
If we've learned anything from the global pandemic, it's that our current food supply chain is unstable. In the EU alone, lockdowns have kept laborer's from crops, farmers have been unable to get produce to market.
SaaS-based Agriculture- Revolutionising the Agricultural Sector with Cutting-Edge Software Solutions
AI-driven farming can provide farmers with pest-risk forecasts, image-based insights, and weather pattern related information. AI allows farmers to tackle pest attacks, crop failure possibilities, climate change, and soil degradation smartly and more effectively.
Image processing with cameras and AI enables applications that were previously unthinkable. In agriculture, for example, it supports the optimal application of fertilizers, the visual monitoring of products and growth phases, and the processing of harvested crops.
There are few herbicides available for specialty crops, making hand weeding the "go to" process. Could intelligent weeding machines be the answer? Based on technology advances made to date, experts say the answer is likely yes.
In five to 10 years we will see more aerial and ground robots operating alongside the farmers. And farmers will be able to proactively manage their farms using modern AI capabilities and generate better yields and profits-with optimum sustainability.
Infarm introduces its new high-capacity, cloud-connected Growing Centers - a major step in the company's efforts to accelerate the benefits to people and planet by building a scalable, sustainable and resilient global farming network
Mouser Electronics Releases New Intelligent Revolution eBook Examining AI in Humanitarian Applications
The new eBook examines fascinating new uses for artificial intelligence (AI) in farming and other specialized applications targeting the human experience. Mouser's AI-focused eBook series is part of the company's award-winning Empowering Innovation Together program.
Satellites, UAVs, and remote sensors have been created that monitor farms for 24 hours per day consistently, hence, empowering the farmers to screen their yields in a superior manner and be updated in real-time about the perfect time for harvest.
Farmers have had good scouting imagery technology for many years now, and this is an area that is ripe with new opportunity from automation and artificial intelligence. Thanks to innovations from emerging ag-tech startups, the technology is evolving quickly.
One company iUNU, has a system that uses AI to help with early pest detection. The system "learns" what healthy crops and plants look like, recognizes when anomalies occur, and then sends an alert when something is amiss.
You can place our sensors in your field when the insects arrive, the sensors can figure out what type of insect it is. If it is a beneficial or neutral insect, it does nothing. However, if it is a bad bug aka pest, it sends the information to the cloud.
New global land use mapping, jet stream led forecasting and novel ag insurance to off-set price volatility to be discussed at Agri-TechE event 'De-risking Agriculture Through Weather-Tech'
AI will be key in solving one of the biggest puzzles facing humanity - feeding our growing population in the face of over-population and climate change.
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Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts (e.g. apples with marks or colour deviations). To cover all possible variances with classical image processing would be very time-consuming and costly. AI is able to solve these challenges in no time at all. With IDS NXT ocean, there is now a user-friendly complete solution for industrial applications available. It requires neither special knowledge in deep learning nor camera programming.