Sindhuja Sankaran, Ph.D.

Affiliations: 
2009 North Dakota State University, Fargo, ND, United States 
Area:
Agricultural Engineering, Biomedical Engineering, Materials Science Engineering
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"Sindhuja Sankaran"

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Suranjan Panigrahi grad student 2009 North Dakota State University
 (Development and evaluation of novel sensing materials for detecting food contamination.)
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Publications

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Raman MG, Carlos EF, Sankaran S. (2022) Optimization and Evaluation of Sensor Angles for Precise Assessment of Architectural Traits in Peach Trees. Sensors (Basel, Switzerland). 22
Sangjan W, Marzougui A, Mattinson DS, et al. (2022) Identification of volatile biomarkers for high-throughput sensing of soft rot and Pythium leak diseases in stored potatoes. Food Chemistry. 370: 130910
Zhang C, McGee RJ, Vandemark GJ, et al. (2021) Crop Performance Evaluation of Chickpea and Dry Pea Breeding Lines Across Seasons and Locations Using Phenomics Data. Frontiers in Plant Science. 12: 640259
Sangjan W, Carter AH, Pumphrey MO, et al. (2021) Development of a Raspberry Pi-Based Sensor System for Automated In-Field Monitoring to Support Crop Breeding Programs Inventions. 6: 42
Marzougui A, Ma Y, McGee RJ, et al. (2020) Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil. Plant Phenomics (Washington, D.C.). 2020: 2393062
Kothawade GS, Sankaran S, Bates AA, et al. (2020) Feasibility of Volatile Biomarker-Based Detection of Pythium Leak in Postharvest Stored Potato Tubers Using Field Asymmetric Ion Mobility Spectrometry. Sensors (Basel, Switzerland). 20
Zhang C, Craine WA, McGee RJ, et al. (2020) Image-Based Phenotyping of Flowering Intensity in Cool-Season Crops. Sensors (Basel, Switzerland). 20
Marzougui A, Ma Y, McGee RJ, et al. (2020) Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil Plant Phenomics. 2020: 1-11
Zhang C, Marzougui A, Sankaran S. (2020) High-resolution satellite imagery applications in crop phenotyping: An overview Computers and Electronics in Agriculture. 175: 105584
Jarolmasjed S, Sankaran S, Marzougui A, et al. (2019) High-Throughput Phenotyping of Fire Blight Disease Symptoms Using Sensing Techniques in Apple. Frontiers in Plant Science. 10: 576
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