Photonics Spectra: Vision Spectra This is the syndication feed for Photonics Spectra: Vision Spectra. https://www.photonics.com/Splash.aspx?Tag=Vision+Spectra Fri, 29 Mar 2024 02:25:28 GMT Tue, 21 Jun 2022 15:27:44 GMT 1800 AI Pioneer Andrew Ng Headlines Vision Spectra Conference ’22
By harnessing the power of “good” data over “big” data, manufacturers with limited data sets can use machine vision for quality inspection. This is the premise of the keynote address to be delivered by globally recognized AI visionary Andrew Ng for the second annual Vision Spectra Conference (VSC), which will be held online July 19-21.


The founder and CEO of Landing AI underscores how most AI models rely on huge data sets such as those amassed by Google, Facebook, and Amazon. But manufacturers do not always have access to the large amount of data that is needed to feed AI engines to target specific issues. By using the data-centric AI approach that Ng pioneered, 50 good images can be as effective as 500 bad...]]>
https://www.photonics.com/Articles/AI_Pioneer_Andrew_Ng_Headlines_Vision_Spectra/p5/a68121 A68121 Tue, 21 Jun 2022 15:27:44 GMT
Crop Stress Managed with Machine Learning, UAVs, Hyperspectral Imaging
Iowa State University scientists are developing a machine learning system that could automate farmers’ ability to diagnose a range of major stressors in soybeans. The technology will use cameras attached to unmanned aerial vehicles (UAVs) to gather bird’s-eye images of soybean fields. A computer application will automatically analyze the images and alert the farmer of trouble spots.

The project began with an app created at the university by an interdisciplinary team of engineers and plant scientists. The app allowed smartphone users to take pictures of soybean plants to determine if the plants suffered from iron deficiency. It required photos to be taken manually and was able to diagnose only one stressor. The algorithms...]]>
https://www.photonics.com/Articles/Crop_Stress_Managed_with_Machine_Learning_UAVs/p5/a65162 A65162 Tue, 01 Oct 2019 16:43:59 GMT