How to control growth phases intelligently and efficiently

Image processing with cameras and artificial intelligence 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. Intelligent systems for collecting and analyzing information are also a valuable tool when it comes to detecting conditions, making decisions and triggering follow-up processes.
 
Just a little while ago, it was hardly possible to gather such information based on camera technology. Now, all these new vision applications are made possible by artificial intelligence. AI itself is no easy technology – there are usually lots of steps required from gathering training images to a fully and independently working application. Users have to manage the data collection, the data set labeling, the AI knowledge, the programming of the neural network, the training, and validation and finally the hardware platform for the AI processing to run on.

The all-in-one AI solution IDS NXT ocean takes care of everything between the user knowledge and physical deployment – this makes the technology available to anybody. With the help of the IDS NXT lighthouse cloud software, even users without prior knowledge of artificial intelligence or camera programming can train a neural network.
 
Another advantage of IDS NXT is the ability to perform AI-based image processing in an edge device. AI processing can be pretty intensive since neural networks can sometimes have millions of parameters, which means that processing and memory resources must be carefully managed. IDS has developed an FPGA AI accelerator core and worked hard to optimize the neural networks created with IDS NXT lighthouse to ensure that AI processing runs efficiently on IDS NXT cameras. 

Read the complete article at www.agritechtomorrow.com.


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