Statistical and Machine Learning-Based FHB Detection in Durum Wheat
Author:
Affiliation:
1. Department of Agronomy and Plant Breeding, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran
Publisher
Korean Society of Breeding Science
Subject
Plant Science,Biotechnology
Link
http://pdf.medrang.co.kr/ksbs/2020/008/ksbs008-03-06.pdf
Reference43 articles.
1. Adams J. 1921. Observations on wheat scab in Pennsylvania and its pathological histology. Phytopathology 11: 115- U119.
2. Study of silicon effects on antioxidant enzyme activities and osmotic adjustment of wheat under drought stress
3. Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species
4. Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
5. Structural health monitoring using extremely compressed data through deep learning
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