Trail Explorer is a mobile platform to explore your environment, discover places of interest, chart untraveled itineraries, plan trips, stay fit and have fun.
From any point on the map Trail Explorer can generate a hiking and adventure travel local snapshot listing all hiking trails, nearby geo-POIs, popular locations for outdoor sports like climbing, scuba diving, kayaking and many others. We also collect relevant videos, wikipedia articles, the weather, and detailed data and statistics on trails and locations.
For any destination, ChatGPT can produce a local adventure travel summary, listing recommended places to visit, outdoor activities, local insights, alternative locations and trip directions. Users can of course ask for additional information.
Our tools will prepare you to better explore your environment, and build awareness of the terrain, the level of difficulty, time, and gear required to reach your next objective. We compile information from a multitude of data sources to help you anticipate and plan a safer and more enjoyable experience.
Our news section compiles the latest from the web in 20 categories like hiking, mountains, climbing, kayaking, running, scuba-diving, extreme sports and many others.
Based on our record, Pl@ntNet seems to be more popular. It has been mentiond 4 times since March 2021. 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.
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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