Segment Anything Model and Fully Convolutional Data Description for Plant Multi-Disease Detection on Field Images-Reference-Cited by-同舟云学术

Segment Anything Model and Fully Convolutional Data Description for Plant Multi-Disease Detection on Field Images

Author:

Moupojou Emmanuel¹^ORCID,Retraint Florent²^ORCID,Tapamo Hyppolite³,Nkenlifack Marcellin⁴,Kacfah Cheikh¹,Tagne Appolinaire⁵

Affiliation:

1. Département d’Informatique et Systèmes d’Information, Institut Universitaire Saint Jean du Cameroun, Yaoundé, Cameroon

2. Computer Science and Digital Society Laboratory (LIST3N), University of Technology of Troyes, Troyes, France

3. Computer Science Department, University of Yaoundé I, Yaoundé, Cameroon

4. Mathematics and Computer Science Department, University of Dschang, Dschang, Cameroon

5. Institut de Recherche Agricole pour le Développement, Yaoundé, Cameroon

Funder

Cooperation and Cultural Action Service (SCAC) of the French Embassy in Cameroon

Institut Universitaire Saint Jean du Cameroun

Computer Science and Digital Society Laboratory (LIST3N) of Université de Technologie de Troyes

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference43 articles.

4. An open access repository of images on plant health to enable the development of mobile disease diagnostics;Hughes;arXiv:1511.08060,2015