Plant disease classification system using deep learning
In agriculture production, the unlimited and no disease plant product from farming become important things due this product is necessities in terms foods and mainly source for highly nutrient to community regardless country in the world. However, an increase in the human population requires an incre...
Saved in:
Main Author: | Mohd Azizul Asmad Latip |
---|---|
Format: | Academic Exercise |
Language: | English English |
Published: |
2022
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/33302/1/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.24pages.pdf https://eprints.ums.edu.my/id/eprint/33302/2/PLANT%20DISEASE%20CLASSIFICATION%20SYSTEM%20USING%20DEEP%20LEARNING.pdf https://eprints.ums.edu.my/id/eprint/33302/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating aboveground carbon of teak-based agroforestry systems in Sabah, Malaysia using airborne LiDAR
by: Daniel James, et al.
Published: (2022) -
Above ground carbon stock estimation of agroforestry systems in Balung plantation, Tawau, Sabah using airborne Lidar Data
by: Daniel James
Published: (2017) -
Classification of jackfruit and cempedak using convolutional neural network and transfer learning
by: Sumari Putra, et al.
Published: (2022) -
Effects of indigenous microorganism and system of rice intensification formulation on growth, physiology, nutrient uptake and rice yield
by: Md. Amirul Alam, et al.
Published: (2017) -
Forage diversification of parent Bali cattle in Simantri Group 733 Manah Cika Guna Bhakti, Baru Village Tabanan Bali Indonesia
by: Ni Ketut Mardewi, et al.
Published: (2022)