Rice yield classification using backpropagation network
Among factors that affect rice yield are diseases, pests and weeds. It is intractable to model the correlation between plant diseases, pests and weeds on the amount of rice yield statistically and mathematically. In this study, a backpropagation network (BPN) is developed to classify rice yield base...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2004
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/1043/1/P._Saad.pdf http://repo.uum.edu.my/1043/ http://jict.uum.edu.my |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |