An Automated Rice Leaf Disease Identification using Deep Learning
Author:
Affiliation:
1. Bennett University,School of CSE and Technology,Greater Noida,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10433896/10433898/10434185.pdf?arnumber=10434185
Reference22 articles.
1. A two-stage feature aggregation network for multi-category soybean leaf disease identification
2. Application of smartphone-image processing and transfer learning for rice disease and nutrient deficiency detection
3. Biorthogonal wavelet based entropy feature extraction for identification of maize leaf diseases
4. An optimized strategy of nitrogen-split application based on the leaf positional differences in chlorophyll meter readings
5. Booting heat stress alters leaf photosynthesis, growth rate, phenology and yield in rice
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