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AI monitoring system aims to optimize hemp crops

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A Polish start-up has developed the first application in a suite of artificial intelligence (AI) tools dedicated to crop monitoring, yield optimization and management of outdoor hemp fields. "We'll be able to accurately predict when flowers will be perfect for a harvest. That's important not only because cannabinoids content can drop more than 35% if collected too late, but it's also critical from a logistics point of view," said Marcin Marczak, CEO at the developer, Green Cube Solutions. "With the limitations on available equipment, good planning is the key to a successful harvest." The technology being developed by Łódź-based Green Cube is an "integrated end-to-end platform that will support farmers from soil preparation through harvest and up to product distribution," Marczak said.


Artificial Intelligence Is Helping The Blind To Recognize Objects

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EyeSense, an iPad app developed in Egypt, has the ability to "learn" objects in its environment, having been trained by its users. A visually impaired person can point their device in the direction of where they think something might be–say, a coffee cup–and a voice will say that the app recognizes that object. "The key strength of the app is that it also recognizes basic facial expressions, like winks or smiles. This enhances human interaction," says Joanna Marczak, a spokesperson for its developer, ID Labs. To train the app, you place things in front of the device's camera at several angles, telling it about the items.


Artificial Intelligence Is Helping The Blind To Recognize Objects

#artificialintelligence

Can artificial intelligence help visually impaired people recognize objects around them and improve their quality of life? EyeSense, an iPad app developed in Egypt, has the ability to "learn" objects in its environment, having been trained by its users. A visually impaired person can point their device in the direction of where they think something might be--say, a coffee cup--and a voice will say that the app recognizes that object. "The key strength of the app is that it also recognizes basic facial expressions, like winks or smiles. This enhances human interaction," says Joanna Marczak, a spokesperson for its developer, ID Labs.