Potato

Drone RGB Imagery Color and Texture Information Have Varied Importance in Predicting Potato Aboveground Biomass in Different Growth Stages
Accurately monitoring the crop aboveground biomass (AGB) is critical for yield forecasting. Despite the advances in high-resolution RGB …
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Improving the transferability of potato nitrogen concentration estimation models based on hybrid feature selection and Gaussian process regression
Feature selection methods are widely used to improve the performance of plant nitrogen concentration (PNC) estimation models. However, …
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Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models
Excessive nitrogen (N) fertilization poses environmental risks at regional and global levels. Satellite remote sensing provides a novel …
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Multi-temporal UAV Imaging-Based Mapping of Chlorophyll Content in Potato Crop
Spectral indices based on unmanned aerial vehicle (UAV) multispectral images combined with machine learning algorithms can more …
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Hyperspectral indices optimization algorithms for estimating canopy nitrogen concentration in potato (Solanum tuberosum L.)
Many empirical models based on hyperspectral indices (HIs) have been developed to estimate nitrogen (N) status of crops. However, most …
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