Shahla Hosseini Bai
Orcid: 0000-0001-8646-6423
According to our database1,
Shahla Hosseini Bai
authored at least 8 papers
between 2018 and 2024.
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Bibliography
2024
Predicting Carbohydrate Concentrations in Avocado and Macadamia Leaves Using Hyperspectral Imaging with Partial Least Squares Regressions and Artificial Neural Networks.
Remote. Sens., September, 2024
Hyperspectral imaging predicts macadamia nut-in-shell and kernel moisture using machine vision and learning tools.
Comput. Electron. Agric., 2024
2023
Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces for Rapid Assessment of Foliar Nutrient Concentrations in Hass Avocado.
Remote. Sens., June, 2023
2021
Comparison of Hyperspectral Imaging and Near-Infrared Spectroscopy to Determine Nitrogen and Carbon Concentrations in Wheat.
Remote. Sens., 2021
A Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes.
Remote. Sens., 2021
Quality estimation of nuts using deep learning classification of hyperspectral imagery.
Comput. Electron. Agric., 2021
2020
Rapid Determination of Nutrient Concentrations in Hass Avocado Fruit by Vis/NIR Hyperspectral Imaging of Flesh or Skin.
Remote. Sens., 2020
2018
A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging.
Comput. Electron. Agric., 2018