Characterisation of Castor (Ricinus communis L.) Seed Quality Using Fourier Transform Near-Infrared Spectroscopy in Combination with Multivariate Data Analysis

Abstract

Abstract:The potential of single-seed near-infrared (NIR) spectroscopy was investigated to characterise castor seeds based on their seed viability and seed oil content. Distinct differences between viable and non-viable seeds were observed in the principal component analysis (PCA) analysis. Furthermore, the PCA compared heavy and medium seeds with light seeds, which were comparable to the clusters of viable and non-viable seeds, respectively. Prediction accuracies of 98.7% and 99.6% were obtained with the partial least squares discriminant analysis (PLS-DA) model with a classification error rate of 0.8% and 1.1% for the training set and test set, respectively. The NIR spectral regions having chemical information from the oil in castor seeds were found to be vital for determination of seed viability.

Classification of Lampung robusta Specialty Coffee According to Differences in Cherry Processing Methods Using UV Spectroscopy and Chemometrics

“…To select the appropriate gamma value (γ), a grid search was used. A detailed explanation of those methods can be found in several reported works [28][29][30][31]. The accuracy of each classification methods was calculated using the following equation [32]:…”

Hubungan Karakter Agronomi Dan Karakteristik Fisik Biji Terhadap Hasil Biji Dan Hasil Minyak 20 Galur Jarak Kepyar (Ricinus communis L.) Perlakuan Kolkisin Generasi Ke-5

“…Karakter jumlah biji per tanaman, berat 100 biji, dan berat total biji berkorelasi nyata terhadap hasil tanaman jarak kepyar. Biji yang lebih berat memiliki potensi tumbuh yang lebih baik dan potensi hasil yang lebih tinggi (Gislum et al, 2018). Biji menyimpan cadangan makanan sebagai suplemen penting dalam pengembangan tanaman sehingga semakin banyak cadangan makanan pada biji potensi tumbuh tanaman semakin baik (Chandrasekaran dan Liu, 2013).…”

Analysis of Operational Mechanized Technologies of Seed Separation Under Artificial Forest Restoration

“…Цвет является довольно устойчивым генетически и наиболее простым в измерении биофизическими мето-дами феномаркером для контроля качества семян. Оптическая технология сепарации семян, согласно обширным исследованиям [25,28,31,32,33,34,36,38,39,40,42,43,44,45,46,47,49], способна определять происхождение и жизнеспособность репродуктивного материала. При необходимости нетрудно реализовать и классификацию семян по количественному признаку, и элиминирование примесей.…”