Based on our record, .NET seems to be a lot more popular than Pl@ntNet. While we know about 51 links to .NET, we've tracked only 4 mentions of Pl@ntNet. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
1.Dot net is the most performant framework 2.EF Core has gotten better and provides a slew of performance steps 3.PostgreSQL is a powerful, open source object-relational database that safely stores and scales the most complicated data workloads. 4.Delta An efficient approach to implementing a 304 Not Modified leveraging DB change tracking. - Source: dev.to / 4 months ago
Editing PDF files programmatically is a common requirement in enterprise applications โ whether you're modifying invoices, generating reports, or enabling users to fill and save forms. The .NET ecosystem lacks native support for advanced PDF editing, which makes third-party libraries crucial. - Source: dev.to / 5 months ago
Dotnet (.NET 9 is used for this article) and C# decompiler. - Source: dev.to / 6 months ago
C# was developed by Microsoft in the early 2000s as part of its .NET initiative, led by Anders Hejlsberg. Originally designed as an alternative to Java, C# evolved into a powerful language for Windows applications, backend services, game development (via Unity), and cloud computing. The introduction of .NET Core made C# fully cross-platform, allowing it to run on Windows, Linux, and macOS. - Source: dev.to / 8 months ago
This blog post details how to implement social authentication and provide users with several social login options and how we can handle the users' data obtained as a result of these logins in our application. In this blog post, weโll look at how we can integrate Google and Facebook login authentications. We will see how this can be implemented from the server side of an application using .NET 6; Microsoft's own... - Source: dev.to / about 1 year ago
There are a number of phone apps that will identify trees from a picture. I personally prefer plantnet.org (non-profit entity / no ads or tracking). Source: over 3 years ago
You can also go directly to plantnet.org and perform the same check. Source: over 3 years ago
Get the app from plantnet.org. It's developed by a non-profit consortium of European organizations. I promise it's completely ad free and won't terrorize you in any way. Source: over 3 years ago
You could scrape them off the plantnet.org site. But unless your problem is purely academic you could skip creating your own engine and just use their API. Source: almost 4 years ago
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