Overpopulation and the modernization of the world has given the agriculture section a big hit and in a big need of an upgrade. It all started in the 90s with the first tractor but now AI and ML techniques are being used for the productivity and sustainability of the sector. Nowadays, it's being used for seed classification purposes to help understanding the crops and seeds even for the person who will plant them in his own backyard.This research will be similar to the study presented here [12] but it will use a different database containing multiple types of seeds which will have gone through a research and data augmentation. In this research a CNN model will be used for the classification.These are the key points of this research:? Conduct a seed classification by using a model to multiple variations of seeds instead of one kind of seed which was used in previous studies.? Use CNN model which will be finetuned to optimize time and accuracy of the model.? Show analytically the methods used? Make the model ready for use for other classification methods and or multiple devices.
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