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Context: In recent times, the field of agriculture has been in urgent need of modernizing, since the amount of manual work people need to put in to check if plants are growing correctly is still highly extensive. Despite several advances in agricultural technology, people working in the agricultural industry still need to have the ability to sort and recognize different plants and weeds, which takes a lot of time and effort in the long term. The potential is ripe for this trillion-dollar industry to be greatly impacted by technological innovations that cut down on the requirement for manual labor, and this is where Artificial Intelligence can actually benefit the workers in this field, as the time and energy required to identify plant seedlings will be greatly shortened by the use of AI and Deep Learning. The ability to do so far more efficiently and even more effectively than experienced manual labor, could lead to better crop yields, the freeing up of human inolvement for higher-order agricultural decision making, and in the long term will result in more sustainable environmental practices in agriculture as well.
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Objective: The aim of this project is to Build a Convolutional Neural Netowrk to classify plant seedlings into their respective categories.
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Data Description: The Aarhus University Signal Processing group, in collaboration with the University of Southern Denmark, has recently released a dataset containing images of unique plants belonging to 12 different species.
The dataset can be download from Olympus. The data file names are: images.npy Label.csv Due to the large volume of data, the images were converted to the images.npy file and the labels are also put into Labels.csv, so that you can work on the data/project seamlessly without having to worry about the high data volume.
The goal of the project is to create a classifier capable of determining a plant's species from an image.
- List of Species:
Black-grass Charlock Cleavers Common Chickweed Common Wheat Fat Hen Loose Silky-bent Maize Scentless Mayweed Shepherds Purse Small-flowered Cranesbill Sugar beet