Semi‐automatic leaf disease detection and classification system for soybean culture

Author:

Kaur Sukhvir1,Pandey Shreelekha1,Goel Shivani2

Affiliation:

1. Computer Science and Engineering DepartmentThapar Institute of Engineering and TechnologyPatialaPunjab147004India

2. Computer Science and Engineering DepartmentBennett UniversityGreater NoidaUPIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. ‘Nitrogen fixation’ available athttps://en.wikipedia.org/wiki/Nitrogen_fixation accessed February 2017

2. Crop losses due to diseases and their implications for global food production losses and food security

3. ‘Diagnosing plant problems: plant diseases and disorders’ available athttps://firstdetector.org/static/pdf/NPDNDiagnosingPlantProblemsPlantDiseaseforreview2.pdf accessed February 2017

4. ‘Signs and symptoms of plant disease: Is it fungal viral or bacterial?’ available athttp://msue.anr.msu.edu/news/signs_and_symptoms_of_plant_disease_is_it_fungal_viral_or_bacterial accessed January 2017

5. Similarity, Pattern, and Grouping of Soybean Fungal Diseases in the United States: Implications for the Risk of Soybean Rust

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