Effectiveness of Using Deep Learning for Blister Blight Identification in Sri Lankan Tea-Reference-Cited by-同舟云学术

Effectiveness of Using Deep Learning for Blister Blight Identification in Sri Lankan Tea

Published:2023-06-29 Issue: Volume: Page:
ISSN:
Container-title:2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)
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Author:

Hewawitharana G.H.A.U.¹,Nawarathne U.M.L.A.¹,Hassan A.S.F.¹,Wijerathna Lochana M.¹,Sinniah G.D.²,Vidhanaarachchi Samitha P.³,Wickramarathne Jagath³,Wijekoon Janaka L.⁴

Affiliation:

1. Sri Lanka Institute of Information Technology,Department of Information Technology,Malabe,Sri Lanka

2. Tea Research Institute of Sri Lanka,Plant Pathology Division,Talawakelle,Sri Lanka

3. Sri Lanka Institute of Information Technology,Department of Computer Science and Software Engineering,Malabe,Sri Lanka

4. Military Technological College,Systems Engineering Department,Muscat,Oman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10214973/10214983/10215029.pdf?arnumber=10215029

Reference21 articles.

1. Smart Glass: Real-Time Leaf Disease Detection using YOLO Transfer Learning

2. Effectiveness of Using Radiology Images and Mask R-CNN for Stomatology

3. Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network

4. Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

5. Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases

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