Integrated digital image processing techniques and deep learning approaches for wheat stripe rust disease detection and grading
Year of publication: |
2023
|
---|---|
Authors: | Mumtaz, Rafia ; Maqsood, Muhammad Hassan ; Ul Haq, Ihsan ; Shafi, Uferah ; Mahmood, Zahid ; Mumtaz, Mustafa |
Subject: | Deep learning | Convolutional neural network | Feature extraction | Image processing | Vegetation indices | Wheat stripe rust disease | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Weizenmarkt | Wheat market | Weizenanbau | Wheat production | Weizen | Wheat |
-
Decomposing USDA ending stocks forecast errors
Goyal, Raghav, (2023)
-
Optimum prediction and forecasting of wheat demand in Iran
Babazadeh, Reza, (2021)
-
Economic evaluation of yield-increasing wheat seeds using a distance function approach
Wree, Philipp, (2018)
- More ...
-
Hussain, Rai Imtiaz, (2012)
-
Model study of market prices of wheat, rice, cotton, gold and silver
Mahmood, Zahid, (1972)
-
Mahmood, Zahid, (2000)
- More ...