Nondestructive classification of mung bean seeds by single kernel near-infrared spectroscopy

Abstract

Near-infrared spectroscopy (NIRS) in the range 900-1700 nm was performed to develop a classifying model for dead seeds of mung bean using single kernel measurements. The use of the combination of transmission-absorption spectra and re°ection-absorption spectra was determined to yield a better classi¯cation performance (87.88%) than the use of only transmissionabsorption spectra (81.31%). The e®ect of the orientation of the mung bean with respect to the light source on its absorbance was investigated. The results showed that hilum-down orientation exhibited the highest absorbance compared to the hilum-up and hilum-parallel-to-ground orientations. We subsequently examined the spectral information related to the seed orientation by developing a classifying model for seed orientation. The wavelengths associated with classication based on seed orientation were obtained. Finally, we determined that the re-developed classifying model excluding the wavelengths related to the seed orientation a®orded better accuracy (89.39%) than that using the entire wavelength range (87.88%).

3D Printing of Hydrogel-Based Seed Planter for In-Space Seed Nursery

“…Firstly, microgravity can cause soil particles to fly out of control. Second, the soil has a limited water retention capacity compared to hydrogel [20]. Hydrogel as a growing medium in space is both efficient and cost-effective.…”

pH value monitoring during human albumin purification with near infrared spectroscopy and chemometrics

“…NIRS can detect the signal of CH 3 COOH, and then monitoring pH value. NIRS was widely used in many¯elds because of its advantages of fast, nondestructive and pollution-free, such as pharmaceuticals, 9,10 food, 11,12 agriculture, 13,14 clinic 15 and so on. NIRS has been used as an important process analytical technology (PAT) tool for critical process monitoring, 16,17 quality inspection of nal products.…”