Deep learning based real-time detection of northern corn leaf blight crop disease using YoloV4

2021 ◽  
Author(s):  
Blake Richey ◽  
Mukul V. Shirvaikar
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Leaf Blight ◽  
Northern Corn Leaf Blight ◽  
Crop Disease ◽  
Real Time Detection ◽  
Corn Leaf Blight

Morphological and molecular markers based screening of maize hybrids against northern corn leaf blight

2020 ◽  
Vol 53 (1) ◽  
Author(s):  
Sadaf Naeem ◽  
Muhammad Tahir ◽  
Kiramat Khan ◽  
Amjad Hasan ◽  
Rafiq Ahmad
Keyword(s):  
Molecular Markers ◽  
Leaf Blight ◽  
Maize Hybrids ◽  
Northern Corn Leaf Blight ◽  
Corn Leaf Blight

Klebsiella jilinsis 2N3 promotes maize growth and induces resistance to northern corn leaf blight

2021 ◽  
Vol 156 ◽  
pp. 104554
Author(s):  
Meng Zhang ◽  
Cheng Zhang ◽  
Sisheng Zhang ◽  
Huilin Yu ◽  
Hongyu Pan ◽  
...  
Keyword(s):  
Leaf Blight ◽  
Northern Corn Leaf Blight ◽  
Maize Growth ◽  
Corn Leaf Blight

scholarly journals A Quantitative Disease Severity Rating Scale for Northern Corn Leaf Blight

2016 ◽  
Vol 17 (1) ◽  
pp. 49-50 ◽  
Author(s):  
Trey Price ◽  
Myra Purvis ◽  
Hunter Pruitt
Keyword(s):  
United States ◽  
Disease Severity ◽  
Rating Scale ◽  
The United States ◽  
Leaf Blight ◽  
Analysis Software ◽  
Northern Corn Leaf Blight ◽  
Severity Rating ◽  
Corn Leaf Blight

Northern corn leaf blight (NCLB) is an annual issue for corn producers throughout the United States. Consequently, researchers are constantly evaluating hybrids for resistance and fungicides for efficacy. In most cases, NCLB severity is evaluated by visually estimating the percentage of affected foliage. Perceptions of disease severity are variable among stakeholders; therefore, a rating scale was created using photo analysis software that may be used to increase accuracy of disease severity estimations. Accepted for publication 15 March 2016. Published 28 March 2016.

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