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Lawrence Chege Ngugi
Lawrence Chege Ngugi
Jomo Kenyatta University of Agriculture and Technology, Egypt-Japan University of Science and
Verified email at jkuat.ac.ke
Title
Cited by
Cited by
Year
Recent advances in image processing techniques for automated leaf pest and disease recognition–A review
LC Ngugi, M Abelwahab, M Abo-Zahhad
Information processing in agriculture 8 (1), 27-51, 2021
3592021
Tomato leaf segmentation algorithms for mobile phone applications using deep learning
LC Ngugi, M Abdelwahab, M Abo-Zahhad
Computers and Electronics in Agriculture 178, 105788, 2020
852020
A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks
LC Ngugi, M Abdelwahab, M Abo-Zahhad
Information Processing in Agriculture 10 (1), 11-27, 2023
212023
Recent advances in image processing techniques for automated leaf pest and disease recognition–a review. Information Processing in Agriculture, 8 (1): 27-51
LC Ngugi, M Abelwahab, M Abo-Zahhad
112021
Recent advances in image processing techniques for automated leaf pest and disease recognition—a review. Inf Process Agric 8 (1): 27–51
LC Ngugi, M Abelwahab, M Abo-Zahhad
52021
Recent advances in image processing techniques for automated leaf pest and disease recognition–A review., Information Processing in Agriculture
LC Ngugi, MAZ MoatazAbelwahab
42020
Performance evaluation of MPLS/GMPLS control plane signaling protocols
N Lawrence, CB Freelance
Blekinge Institute of Technology, 2009
22009
Towards Leaf Disease Recognition from Individual Lesions Using Deep Learning Techniques
LC Ngugi, M Abo-Zahhad, M Abdelwahab
2021 9th International Japan-Africa Conference on Electronics …, 2021
2021
PERFORMANCE EVALUATION OF MPLS/GMPLS CONTROL PLANE SIGNALING PROTOCOLS
FB Ngugi
2009
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