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Enough food is produced each year to comfortably feed the world’s 8 billion population. Yet, in 2023 at least 345 million people face high levels of food insecurity, according to the World Food Programme. The true number could be twice that. Between harvest and home, one-third of all the food produced is lost or wasted—about 2.5 billion tonnes—the weight of a couple of Mount Everests.

Wasting away: Wireless IoT tackles global food waste crisis

The greater the amount of high-quality data you have, the better your machine learning model will be. This post looks at the challenges (and solutions) involved in creating and organizing a dataset when you’re starting from scratch.

Improving Dataset Creation for Machine Learning

As IoT evolves, projects are shifting from being experimental and exploratory to business critical. This makes them more complex, ensures they receive more scrutiny and, inevitably, increases the opportunities for things to go wrong. This is even more true when you consider that IoT devices and solutions have a long shelf life, making long-term success only possible if you’re properly planning and building today for the unknown factors in the future.

5 IoT Connectivity Considerations for Successful IoT Projects

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