Cassava Detection from UAV Images Using YOLOv5 Object Detection Model: Towards Weed Control in a Cassava Farm

Emmanuel C. Nnadozie; Ogechukwu Iloanusi; Ozoemena Ani; Kang Yu

doi:10.1101/2022.11.16.516748

Article Information

doi

https://doi.org/10.1101/2022.11.16.516748

History

November 17, 2022.

The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

Emmanuel C. Nnadozie1,2,3,*,
Ogechukwu Iloanusi1,
Ozoemena Ani2 and
Kang Yu3

¹Department of Electronic Engineering, University of Nigeria; emmanuel.nnadozie{at}unn.edu.ng (E.C.N.); ogechukwu.iloanusi{at}unn.edu.ng (O.I.)
²Department of Mechatronic Engineering, University of Nigeria; ozoemena.ani{at}unn.edu.ng (O.A)
³Precision Agriculture Lab, School of Life Sciences, Technical University of Munich; kang.yu{at}tum.de (K.Y.)