Main Article Content
The study examined the past studies, the advantages and disadvantages of each, and the history of algorithms and methods of object detection. Particularly, the studies on the detection of tomatoes and other agricultural products were examined as well. We then reviewed the proposed models and methods for object detection in the image, especially methods based on deep networks. Finally, we briefly compared some of the most widely used methods in this regard nowadays used by scholars and engineers in different problems in this field and examined the papers regarding the detection and localization of agricultural products, particularly tomatoes.
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.