An end-to-end deep learning framework that detects four growth stages (seed, bud, flower, harvestable fruit) of okra, pepper, and eggplant plants, with a new labeled dataset collected from agricultural fields in Muğla.
Read more →A YOLO-based deep learning model that automatically detects weekly growth stages and slaughter time in broiler chickens on poultry farms, from data collected in a real farm environment.
Read more →An AI model for segmenting the dermis and epidermis layers and atypical cells in skin biopsy images, using a dataset prepared from Bursa Uludağ University Hospital medical data.
Read more →An image processing system that detects weeds and lettuce plants, with a GPS-based precise positioning and autonomous navigation algorithm, running in real time on a Jetson Nano.
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