KushScan is a mobile application that uses advanced technology to analyze dry kush strains through photographs. The app provides information on the strain's type, THC level, and sativa/indica ratio. Using our extensive database, the application displays the three most visually similar strains. Users have the option to take a new photo or select one from their gallery.
With KushScan, you can perform cannabis testing on the go. Understanding what you're smoking and the potency of the strain is made easier. The sativa/indica ratio helps predict the mood and effects of the strain. After making a prediction, users can tap on a flower photo to access extended information about the marijuana.
The app's algorithm has been trained to recognize 20 different strains including Chocolope, Durban Poison, G13, Hindu Kush, Jack Herer, Lemon Haze, Northern Lights, OG Kush, Pineapple Express, AK-47, Amnesia Haze, Blue Dream, Bubble Gum, Girl Scout Cookies, Gorilla Glue, Green Crack, Pink Kush, Sour Diesel, and White Widow. If a specific strain is not in our database, the most relevant from the known 20 will be selected.
Despite its simplicity in usage, KushScan is backed by sophisticated computer vision algorithms. Over two years of research were dedicated to developing and customizing texture and color features that accurately describe different marijuana strains.
The app's database is continually updated through in-depth genetic analysis of hundreds of well-known marijuana varieties.
IMPORTANT: PLEASE NOTE THAT THE APPLICATION DOES NOT PROVIDE 100% ACCURACY. IT IS DESIGNED FOR ENTERTAINMENT PURPOSES ONLY. THE INFORMATION PROVIDED BY THE APPLICATION DOES NOT SUBSTITUTE PROFESSIONAL MEDICAL ADVICE AND IS NOT INTENDED AS LEGAL ADVICE. USERS SHOULD CONSULT WITH PROFESSIONALS, SUCH AS MEDICAL SPECIALISTS, BEFORE TRYING ANY TYPE OF PRODUCT.
For the application's Terms of Use (EULA), please visit: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Overview
Kush Scan: Identify Cannabis is a Freeware software in the category Home & Hobby developed by Oleksandr Koriukalov.
The latest version of Kush Scan: Identify Cannabis is 1.36, released on 11/03/2023. It was initially added to our database on 10/29/2023.
Kush Scan: Identify Cannabis runs on the following operating systems: iOS.
Users of Kush Scan: Identify Cannabis gave it a rating of 4 out of 5 stars.
FAQ
What is Kush Scan?
Kush Scan is a mobile application developed by Oleksandr Koriukalov that helps users identify different strains of cannabis using images.
How does Kush Scan work?
Users can take a picture of a cannabis strain and upload it to the Kush Scan app. The app uses image recognition technology to analyze the photo and provide information about the specific strain.
What information can Kush Scan provide about a cannabis strain?
Kush Scan can provide details about the strain's name, genetic lineage, effects, flavors, and potential medical uses.
Is Kush Scan accurate in identifying cannabis strains?
Kush Scan's accuracy in identifying cannabis strains can vary based on factors like image quality and the uniqueness of the strain. It is recommended to cross-check the results with other sources for confirmation.
Is Kush Scan available for both iOS and Android devices?
Yes, Kush Scan is available for download on both iOS and Android devices through their respective app stores.
Is Kush Scan free to use?
Kush Scan offers a free version with limited features. Users can upgrade to a premium version for access to more advanced functionalities.
Can Kush Scan be used in all regions where cannabis is legal?
Kush Scan's availability may vary based on regional laws and regulations regarding cannabis. Users are advised to check their local laws before using the app.
Does Kush Scan store user data?
Kush Scan may collect and store user data for improving its services, but it is recommended to review the app's privacy policy for detailed information.
Can users contribute to the database of cannabis strains in Kush Scan?
Kush Scan allows users to submit new strains or correct existing strain information, helping improve the accuracy and completeness of the app's database.
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