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Evaluation of Effective Class-Balancing Techniques for CNN-Based Assessment of Aphanomyces Root Rot Resistance in Pea (Pisum sativum L.).
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- Sensors (14248220), 2022, v. 22, n. 19, p. 7237, doi. 10.3390/s22197237
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Biogenic VOCs Emission Profiles Associated with Plant-Pest Interaction for Phenotyping Applications.
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- Sensors (14248220), 2022, v. 22, n. 13, p. 4870, doi. 10.3390/s22134870
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- Article
Dissecting the Genetic Architecture of Aphanomyces Root Rot Resistance in Lentil by QTL Mapping and Genome-Wide Association Study.
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- International Journal of Molecular Sciences, 2020, v. 21, n. 6, p. 2129, doi. 10.3390/ijms21062129
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- Article
Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics.
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- Frontiers in Plant Science, 2023, p. 01, doi. 10.3389/fpls.2023.1111575
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- Article
Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics.
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- Frontiers in Plant Science, 2023, v. 14, p. 1, doi. 10.3389/fpls.2023.1111575
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- Article
Rapid Assessment of Architectural Traits in Pear Rootstock Breeding Program Using Remote Sensing Techniques.
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- Remote Sensing, 2023, v. 15, n. 6, p. 1483, doi. 10.3390/rs15061483
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- Article
High-Throughput Phenotyping of Fire Blight Disease Symptoms Using Sensing Techniques in Apple.
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- Frontiers in Plant Science, 2019, p. N.PAG, doi. 10.3389/fpls.2019.00576
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- Article
Advanced Imaging for Quantitative Evaluation of Aphanomyces Root Rot Resistance in Lentil.
- Published in:
- Frontiers in Plant Science, 2019, p. N.PAG, doi. 10.3389/fpls.2019.00383
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- Publication type:
- Article