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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