I'm working on Machine Learning project to improve/automate hydroponics farming systems. Is there any datasets covering crop yields in vertical/hydroponic farming setups ? Any hints or tips on how find such data will be highly appreciated.
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sir medchedli the github link is not working for the datasets– SWAPNIL VCommented Jul 2, 2020 at 10:41
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@SWAPNILV Sorry the link is no longer accessible. PlantOS team deleted the git repo that contains the dataset. Maybe you can reach to them directly and ask for the dataset if they still have it.– medchedliCommented Mar 11, 2021 at 12:58
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There are range of useful datasets. plant-image-analysis.org is site compiling a list of publicly available datasets. Another list of comprehensive datasets are provided by PlantCV.
The quality and size of the data varies with some having ground truth, while others include tens of GBs worth of images. The parts of the plants also vary, with a few examining the roots while others focus on the shoots.
Useful approaches for extracting data include using the image classification developed by PlantCV themselves or by training your own neural network with TensorFlow.
We are using these resources in our community project, Smart Digital Garden, and the research project, Veleda, built on top of it.
Plant OS a research group in Malaysia involved in Open Agriculture Initiative works published their first datasets on Github: https://github.com/plantOS/plant-os/tree/master/datasets
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Sorry the link is no longer accessible. PlantOS team deleted the git repo that contains the dataset Commented Mar 11, 2021 at 12:55