Hyperspectral Technology Detection Of Rice Moisture Content Based On Mea-Bp Neural Network
This study evaluates hyperspectral imaging for detecting rice moisture, comparing three models to enhance accuracy using advanced algorithmic optimization.
This study evaluates hyperspectral imaging for detecting rice moisture, comparing three models to enhance accuracy using advanced algorithmic optimization.
Assessment of mercury contamination in rice from Wanshan, China, with health risk evaluations for residents exposed to methylmercury.
Explore an improved method for determining inorganic arsenic in rice using hydride atomic fluorescence spectrometry, offering accuracy and efficiency.
Explore advanced data acquisition and processing for rice sorting using PCI cards, CCD cameras, wavelet filtering, and K-means clustering.
Analytical method for detecting propanil in rice using chromatography and its validation by health institutes, ensuring high accuracy and sensitivity.
Analyzing the effect of TCA on grain protein digestibility with a modified formula for accurate nutritional evaluation in cereals.
Exploring China’s rice diplomacy as part of the Belt and Road Initiative, highlighting strategies for global influence and food security enhancement.
Exploring global rice export spatial agglomeration, this study highlights trade liberalization’s impact, revealing key factors influencing trade patterns and competitiveness.
Exploring the impact of sodium alginate and calcium chloride on rice starch retrogradation, enhancing shelf-life and quality of rice-based products.
Exploring rice origin traceability through FT-NIR spectroscopy and chemometrics, using PCA and LDA methods for high accuracy in food authenticity analysis.