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Navigate to that picture in your Photos app and swipe up. This brings up an info panel with plenty of details, including the name of the photo, the date and time you took it, and the location.
Plantix is a mobile crop advisory app for farmers, extension workers and gardeners. Plantix was developed by PEAT GmbH, a Berlin-based AI startup. [1] The app is capable of diagnosing plant damages (caused by pests, diseases or nutrient deficiencies) based on digital images of symptoms.
Plant.id is a machine learning-based plant identification API launched in 2018, [6] with the plant disease identification API, plant.health, released in April 2022. [4] The plant.id API is suitable for integration into other software, such as mobile apps [ 7 ] or urban trees from remote-sensing imagery.
An app for smartphones (and a web version) was launched in 2013, [4] which allows to identify thousands of plant species from photographs taken by the user. It is available in several languages. As of 2019 it had been downloaded over 10 million times, in more than 180 countries worldwide. [1]
There are several ways problems can be approached, but doing nothing is too risky. Here are some tips to help your garden thrive. There are several ways problems can be approached, but doing ...
[5] [6] iNaturalist includes an automated species identification tool, and users further assist each other in identifying organisms from photographs and even sound recordings. As of 25 December 2024 [update] , iNaturalist users had contributed approximately 222,324,751 observations of plants, animals, fungi, and other organisms worldwide, and ...
Diagnosis of the cause of a physiological disorder (or disease) can be difficult, but there are many web-based guides that may assist with this. Examples are: Abiotic plant disorders: Symptoms, signs and solutions; [1] Georgia Corn Diagnostic Guide; [2] Diagnosing Plant Problems (Kentucky); [3] and Diagnosing Plant Problems (Virginia). [4 ...
The basics: Weight loss app that includes personal coaching and divides foods into a color system—green for high nutrient/low calorie, red for low nutrient/high calorie, yellow for in-between ...
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