Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy

Soil Research ◽  
2003 ◽  
Vol 41 (6) ◽  
pp. 1101 ◽  
Author(s):  
Kamrunnahar Islam ◽  
Balwant Singh ◽  
Alex McBratney
Keyword(s):  
Soil Properties ◽  
Water Content ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Soil Samples ◽  
Simultaneous Estimation ◽  
Near Infrared Reflectance ◽  
Free Iron ◽  
Rapid Acquisition ◽  
Gravimetric Water Content

Fast and convenient soil analytical techniques are needed for soil quality assessment and precision soil management. Spectroscopy in the ultraviolet (UV, 250–400 nm), visible (VIS, 400–700 nm), and near-infrared (NIR, 700–2500 nm) ranges allows rapid acquisition of soil information at quantitative, and qualitative or indicator, levels for use in agriculture and environmental monitoring. The main objective of this study was to evaluate the ability of reflectance spectroscopy in the UV, VIS, and NIR ranges to predict several soil properties simultaneously. Soil samples (161 surface and subsurface) were used for simultaneous estimation of pH, electrical conductivity (EC), air-dry gravimetric water content, organic carbon (OC), free iron, clay, sand, and silt contents, cation exchange capacity (CEC), and exchangeable calcium (Ca), magnesium (Mg), potassium (K), and sodium (Na). Principal component regression analyses (PCA) were used to develop calibration equations between the reflectance spectral data and measured values for the above soil properties obtained by traditional laboratory methods. By using randomly selected calibration and validation sets of samples, PCA models were able to successfully predict pH, OC, air-dry gravimetric water content, clay, CEC, exchangeable Ca, and exchangeable Mg of soil samples. The predictions, however, were poor for EC, free iron, sand, silt, exchangeable K, and exchangeable Na. The study shows that reflectance spectroscopy in the UV–VIS–NIR range has the potential for the rapid simultaneous prediction of several soil properties.

scholarly journals Komparasi Metode Koreksi Spektrum NIRS (De-Trending dan Derivatif ke-2) untuk Penentuan Kadar Air Bubuk Biji kakao

2016 ◽  
Vol 1 (1) ◽  
pp. 1059-1068
Author(s):  
Masdar Masdar ◽  
Agus Arip Munawar ◽  
Zulfahrizal Zulfahrizal
Keyword(s):  
Least Squares ◽  
Water Content ◽  
Partial Least Squares ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Second Derivative ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance ◽  
Ft Ir

Rendahnya pengawasan mutu kakao menyebabkan harga jual di pasar dunia menurun akibat kurangnya pengawasan kadar air. Salah satu metode yang tepat dan cepat dalam penentuan kadar air adalah menggunakan atau Near Infrared Reflectance Spectroscopy (NIRS). Tujuan penelitian adalah melihat kemampuan NIRS dalam memprediksi kadar air bubuk biji kakao dengan menggunakan metode Partial Least Squares (PLS) serta membandingkan dua metode pretreatment De-trending dan Derivatif ke-2.Alat yang digunakan FT-IR IPTEK T-1516, dan pengolahan data dengan unscrambler software® X version 10. Hasil penelitian menunjukkan NIRS mampu menduga kadar air dalam jumlah 10 gram dengan selang kadar air 7.42 – 11.09 % menggunakan PLS secara non pretreatment maupun pretreatment. Panjang gelombang relevan dalam menduga kadar air bubuk biji kakao adalah  1400-1450 nm dan 1800-1950 nm. Peningkatkan kinerja PLS yang paling bagus menggunakan pretreatment derivative ke-2.Abstract The lowest quality of cocoa supervision cause the selling price descrease due to the lack of supervision on the water content. One of the exact method in determining the water content is Near Infrared Reflectance Spectroscopy (NIRS). The purpose of this study is to know the capability of NIRS in order to predict the water content of cocoa by using Partial Least Squares (PLS) method then compared the two pretreatment methods namely De-trending and second Derivative. The instrument used was FT-IR IPTEK T-1516, and the spectra data were analyzed by using unscrambler software® X version 10. The results showed that NIRS can be used to predict the water content in amount 10 grams in a range of water content 7:42 to 11:09% by using PLS non pretreatment and vice versa. The relevantwavelengthsused to predict water content of cocoa powder ware1400-1450 nm and 1800-1950 nm. The optimum best pretreatment method was found to be second Derivative.

scholarly journals Prediksi Kadar Air Bubuk Biji Kakao Menggunakan NIRS Dengan Metode PLS

2016 ◽  
Vol 1 (1) ◽  
pp. 1037-1045
Author(s):  
Cut Multin ◽  
Agus Munawar ◽  
Zulfahrizal Zulfahrizal
Keyword(s):  
Water Content ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Low Grade ◽  
Near Infrared Reflectance ◽  
Development Method ◽  
Mean Centering ◽  
Local Farmer ◽  
Grade One

Abstrak. Mayoritas biji kakao Indonesia dianggap bermutu rendah. Salah satu metode yang saat ini sedang berkembang dan digunakan untuk mendeteksi kualitas suatu produk pertanian adalah metode Near Infrared Reflectance Spectroscopy (NIRS). Penelitian ini menggunakan sampel biji kakao varietas lindak yang didapat dari petani kemudian dijadikan dalam bentuk bubuk untuk di prediksi kadar airnya menggunakan NIRS dengan metode Partial Least Squares (PLS) sebagai metode regresi serta membandingkan antara pretreatment Derivative 1 (D1) dan Mean Centering (MC) sebagai metode koreksi. Hasil penelitian ini didapat bahwa panjang gelombang 1860-2000 merupakan panjang gelombang yang relevan dalam menduga kadar air pada bubuk biji kakao. Mean Centering adalah pretreatment terbaik diantara dua macam pretreatment yang dipakai dalam penelitian ini.                               Abstract. The majority of  Indonesia kakao is considered to have a low grade. One of the development method that is used to detect the quality of a product is NIRS Method. This research used the lindak variety of kakao beans tha obtained from local farmer then processed in a powder from to predict the water content by using NIRS with PLS as regresion methot also to compare between spektra method nermely pretreatment derivative 1(D1) and MC. From the result of the research is obtained the wavelength range 1860-2000 is the relevant wavelength in predicting the water content in cocoa powder. Mean Centering fond to be the best  pretreatment  that is used in this research.

scholarly journals Environmental assessment of soil quality indices using near infrared reflectance spectroscopy

2021 ◽  
Vol 922 (1) ◽  
pp. 012009
Author(s):  
D Devianti ◽  
Sufardi ◽  
S Syafriandi ◽  
A A Munawar
Keyword(s):  
Spectral Data ◽  
Soil Quality ◽  
Environmental Assessment ◽  
Near Infrared ◽  
Reflectance Spectroscopy ◽  
Soil Samples ◽  
Infrared Reflectance ◽  
Quality Indices ◽  
Near Infrared Reflectance Spectroscopy ◽  
Near Infrared Reflectance

Abstract The main purpose of this preset study is to assess soil quality indices in form of potassium (K) and phosphorus (P) contents using a non-invasive and environmental friendly approach namely near infrared reflectance spectroscopy. Soil samples were obtained from Aceh Besar district in rice field land-use. Near infrared spectral data of soil samples were acquired and recorded as absorbance in wavelength range from 1000 to 2500 nm. On the other hand, actual P and K were measured using standard laboratory procedures by means of Kjeldahl methods. Spectral data were corrected and pre-treated using mean centering approach and applied to all dataset. Prediction models were developed using principal component regression and validated using leverage cross validation. The results showed that both soil quality indices can be predicted with maximum correlation coefficient (r) of 0.98 and ratio prediction to deviation (RPD) index of 3.47 for P, and r of 0.91, RPD of 2.68 for K respectively. It may conclude that environmental assessment, particularly for soil quality determination can be conducted rapidly and non-invasively using near infrared spectroscopy approach.

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