Getting the GISt of our food: using AR to fill in the missing link from farm to table
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Updated
Jan 22, 2019 - CSS
Getting the GISt of our food: using AR to fill in the missing link from farm to table
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The AvantGarden project and team presentation
CNN for identifying common diseases on apple leaves.
A standard model for tracking plant growth, environment, method and entry into the supply chain
AgTech/AgriTech Data Analytics
Plant disease detection using Machine Learning. This is an open source project that is a continuation from @imskr open source work https://github.com/imskr/Plant_Disease_Detection
A simple simulator that generates latitude/longitude data. Simulates herding cattle north and updates location data every one minute.
This is using to collect plant image during growing.
The Sencrop JavaScript API client
Website presentation for the AvantGarden project
Leaf Buster AI is a machine learning project developed during the HackMerced VIII hackathon with the goal of the project being to help farmers identify and classify diseases in their crops using computer vision and artificial intelligence.
Hey, interested in our project. Visit our demo
Agricultural robots is a repository to explore the use of Github while sharing research about agricultural robotics
A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.
In this work we attempt to fill in the gap years for the US Agricultural Census in Utah counties. Open source data from NOAA, Agricultural Census, and BLS are used leveraging Machine Learning methods and models.
Public website for the Digital Agriculture Hackathon hosted by Purdue University, University of Kentucky, and Tuskeegee University
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