Fishing for a reelGene: evaluating gene models with evolution and machine learning.
Schulz AJ, Zhai J, AuBuchon-Elder T, Andorf CM, El-Walid MZ, Ferebee TH, Gilmore EH, Hufford MB, Johnson LC, Kellogg EA, La T, Long E, Miller ZR, Portwood JL, Romay MC, Seetharam AS, Stitzer MC, Woodhouse MR, Wrightsman T, Buckler ES, Monier B, Hsu SK
Published: 8 September 2025
in The Plant journal : for cell and molecular biology
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Employing Spectral Features to Accelerate Sorghum Phenotyping Against Sap-Feeding Aphids.
Shrestha K, Thapa K, Kaler E, Taniguchi M, Sattler SE, Schnable JC, Louis J
Published: 19 June 2025
in Plant direct
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Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum.
Wu K, Zhang Z, He X, Li G, Zheng D, Li Z
Published: 19 February 2025
in Scientific reports
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan.
Karongo J, Mwaniki JI, Ndiritu J, Mokaya V
Published: 6 February 2025
in Scientific reports
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Methylomes as key features for predicting recombination in some plant species.
Peñuela M, Finke J, Rocha C
Published: 8 March 2024
in Plant molecular biology
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Optimization of biomethane production from sweet sorghum bagasse using artificial neural networks combined with particle swarm algorithm.
Machineni L, Anupoju GR
Published: 19 October 2023
in Environmental science and pollution research international
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Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model.
Genze N, Wirth M, Schreiner C, Ajekwe R, Grieb M, Grimm DG
Published: 23 August 2023
in Plant methods
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Multi-Species Prediction of Physiological Traits with Hyperspectral Modeling.
Lin MY, Lynch V, Ma D, Maki H, Jin J, Tuinstra M
Published: 11 March 2022
in Plants (Basel, Switzerland)
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Hyperspectral plant sensing for differentiating glyphosate-resistant and glyphosate-susceptible johnsongrass through machine learning algorithms.
Huang Y, Zhao X, Pan Z, Reddy KN, Zhang J
Published: 8 March 2022
in Pest management science
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Application of X-ray computed tomography to analyze the structure of sorghum grain.
Crozier D, Riera-Lizarazu O, Rooney WL
Published: 13 January 2022
in Plant methods
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