[HTML][HTML] Hyperspectral imaging predicts free fatty acid levels, peroxide values, and linoleic acid and oleic acid concentrations in tree nut kernels
Imaging technologies are advancing rapidly in food processing systems to reduce food
waste. However, modelling techniques, sample sizes and dataset proportioning methods …
waste. However, modelling techniques, sample sizes and dataset proportioning methods …
Non-destructive appraisal of macro-and micronutrients in persimmon leaves using Vis/NIR hyperspectral imaging
Visible and near-infrared (Vis/NIR) hyperspectral imaging (HSI) was used for rapid and non-
destructive determination of macro-and micronutrient contents in persimmon leaves …
destructive determination of macro-and micronutrient contents in persimmon leaves …
Hyperspectral imaging for estimating leaf, flower, and fruit macronutrient concentrations and predicting strawberry yields
Managing the nutritional status of strawberry plants is critical for optimizing yield. This study
evaluated the potential of hyperspectral imaging (400–1,000 nm) to estimate nitrogen (N) …
evaluated the potential of hyperspectral imaging (400–1,000 nm) to estimate nitrogen (N) …
[HTML][HTML] Predicting Carbohydrate Concentrations in Avocado and Macadamia Leaves Using Hyperspectral Imaging with Partial Least Squares Regressions and …
Carbohydrate levels are important regulators of the growth and yield of tree crops. Current
methods for measuring foliar carbohydrate concentrations are time consuming and …
methods for measuring foliar carbohydrate concentrations are time consuming and …
Hyperspectral imaging of adaxial and abaxial leaf surfaces for rapid assessment of foliar nutrient concentrations in hass avocado
Rapid assessment tools are required for monitoring crop nutrient status and managing
fertiliser applications in real time. Hyperspectral imaging has emerged as a promising …
fertiliser applications in real time. Hyperspectral imaging has emerged as a promising …
Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques
Hyperspectral imaging has emerged as a powerful tool for the non-destructive assessment
of plant properties, including the quantification of phytochemical contents. Traditional …
of plant properties, including the quantification of phytochemical contents. Traditional …
Nondestructive estimation of specific macroelement contents in thalli of the red macroalga Pyropia yezoensis using hyperspectral imaging
S Che, L Wu, ZD Wang, L Tian, GY Du… - Journal of Applied …, 2024 - Springer
In the economically important red macroalga Pyropia, carbohydrates and proteins contents
are usually used to evaluate the nutritional status and commercial value. As main …
are usually used to evaluate the nutritional status and commercial value. As main …
Optimal-Band Analysis for Chlorophyll Quantification in Rice Leaves Using a Custom Hyperspectral Imaging System
Hyperspectral imaging (HSI) is a promising tool in chlorophyll quantification, providing a non-
invasive method to collect important information for effective crop management. HSI …
invasive method to collect important information for effective crop management. HSI …
Optimizing UAV Hyperspectral Imaging for Predictive Analysis of Nutrient Concentrations, Biomass Growth, and Yield Prediction of Potatoes
Accurate real-time estimation of nutrient concentrations in potato (Solanum tuberosum L.)
canopies is crucial for advanced decision support systems in site-specific nutrient …
canopies is crucial for advanced decision support systems in site-specific nutrient …
Early detection of N, P, K deficiency in Choy Sum using hyperspectral imaging-based spatial spectral feature mining
VX Teo, S Dhandapani, R Ang Jie, VS Philip… - Frontiers in …, 2024 - frontiersin.org
Leafy vegetables are widely consumed around the world for their rich nutritional qualities. To
ensure a reliable and cost-effective supply of leafy vegetables in the future, advancements in …
ensure a reliable and cost-effective supply of leafy vegetables in the future, advancements in …