ArticleSensors (Basel, Switzerland)2021
Detection of Potassium Deficiency and Momentary Transpiration Rate Estimation at Early Growth Stages Using Proximal Hyperspectral Imaging and Extreme Gradient Boosting.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 31 citations in OpenAlex.
- Integrating hyperspectral reflectance and machine learning for rapid diagnosis of nutrient deficiencies in greenhouse chrysanthemum leaves.BMC plant biology · 2026Article
- Development of a Low-Cost Sensor System for Accurate Soil Assessment and Biological Activity Profiling.Micromachines · 2024Article
- Irradiance Independent Spectrum Reconstruction from Camera Signals Using the Interpolation Method.Sensors (Basel, Switzerland) · 2022Article
- Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods.Sensors (Basel, Switzerland) · 2022Article
- Recent Advances in Multi- and Hyperspectral Image Analysis.Sensors (Basel, Switzerland) · 2021Article
- New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection.Sensors (Basel, Switzerland) · 2021Article
- On the Optimization of Regression-Based Spectral Reconstruction.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Potassium is a macro element in plants that is typically supplied to crops in excess throughout the season to avoid a deficit leading to reduced crop yield. Transpiration rate is a momentary physiological attribute that is indicative of soil water content, the plant's water requirements, and abiotic stress factors. In this study, two systems were combined to create a hyperspectral-physiological plant database for classification of potassium treatments (low, medium, and high) and estimation of momentary transpiration rate from hyperspectral images. PlantArray 3.0 was used to control fertigation, log ambient conditions, and calculate transpiration rates. In addition, a semi-automated platform carrying a hyperspectral camera was triggered every hour to capture images of a large array of pepper plants. The combined attributes and spectral information on an hourly basis were used to classify plants into their given potassium treatments (average accuracy = 80%) and to estimate transpiration rate (RMSE = 0.025 g/min, R
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Registered trials
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