biostudies-literatureUnknown15Uddin MSKing Saud UniversityCauliflower cultivation plays a pivotal role in the Indian Subcontinent's winter cropping landscape, contributing significantly to both agricultural output, economy and public health. However, the susceptibility of cauliflower crops to various diseases poses a threat to productivity and quality. This paper presents a novel machine vision approach employing a modified YOLOv8 model called Cauli-Det for automatic classification and localization of cauliflower diseases. The proposed system utilizes images captured through smartphones and hand-held devices, employing a finetuned pre-trained YOLOv8 architecture for disease-affected region detection and extracting spatial features for disease localization and classification. Three common cauliflower diseases, namely 'Bacterial Soft Rot', 'Downey Frontiers in plant science1373590https://www.ebi.ac.uk/biostudies/studies/S-EPMC11063243biostudies-literatureCauli-Det: enhancing cauliflower disease detection with modified YOLOv8.PMC11063243Mridha MFSafran MChe DPrity AJMazumder MKAAlfarhood SUddin MSfalseCauli-Det: enhancing cauliflower disease detection with modified YOLOv8.Cauliflower cultivation plays a pivotal role in the Indian Subcontinent's winter cropping landscape, contributing significantly to both agricultural output, economy and public health. However, the susceptibility of cauliflower crops to various diseases poses a threat to productivity and quality. This paper presents a novel machine vision approach employing a modified YOLOv8 model called Cauli-Det for automatic classification and localization of cauliflower diseases. The proposed system utilizes images captured through smartphones and hand-held devices, employing a finetuned pre-trained YOLOv8 architecture for disease-affected region detection and extracting spatial features for disease localization and classification. Three common cauliflower diseases, namely 'Bacterial Soft Rot', 'Downey 2024-01-01T00:00:00Z20242026-03-27T16:37:02.765Z2025-08-27T03:08:43.318ZS-EPMC110632433869953610.3389/fpls.2024.1373590