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Journal : agriTECH

Near Infrared Reflectance Spectroscopy: Prediksi Cepat dan Simultan Kadar Unsur Hara Makro pada Tanah Pertanian Devianti Devianti; Sufardi Sufardi; Zulfahrizal Zulfahrizal; Agus Arip Munawar
agriTECH Vol 39, No 1 (2019)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.135 KB) | DOI: 10.22146/agritech.42430

Abstract

Plants need an ideal and healthy soil condition for their growth and a sufficient amount of soil macronutrients. To determine soil nutrients, several methods have been widely employed. Yet, most of them are based on solvent extraction, which is normally time-consuming, requires complicated sample preparation, and sometimes involves chemical materials. Thus, a novel, fast and simultaneous method is required as an alternative method used to predict soil macronutrients in a short period and without involving chemical materials. Near infrared spectroscopy (NIRS) can be considered for this need, since this method is fast, environmentally friendly, and non-destructive. Therefore, the main objective of this study is to apply an NIRS method to predict soil macronutrients (N, P, and K). The diffuse reflectance spectrum was acquired for soil samples in a wavelength range from 1000–2500 nm. Spectra data were corrected using a smoothing method whilst prediction models were developed using principal component regression (PCR) and partial least square regression (PLSR). Prediction accuracy and robustness were evaluated using these following statistical indicators: correlation coefficient (r), root mean square error (RMSEC) and residual predictive deviation (RPD). The results showed that NIRS was able to predict soil macronutrients simultaneously with a maximum correlation coefficient r = 0.97 for N prediction, r = 0.99 for P prediction, and r = 0.95 for K prediction. Thus, it may be concluded that an NIRS method is feasible to be applied as a novel, reliable and fast method to predict soil macronutrients (N, P, and K) simultaneously.
Co-Authors . Chairunas . Chairunas . Chairunas . Khairullah . Mawardiana . Sugianto . Zaitun A.A. Ketut Agung Cahyawan W Ade Fitriadi Agus Arip Munawar Ahmad Reza Kasuri Al Viaturrahmi Amda Resdiar Anischan Gani Anischan Gani Anischan Gani Ashabul Anhar Ashabul Anhar Asmi Susanti Astiti, Suci Putri Ayuni Winazira Bustami Bustami Cut Fajrina Cut Salbiah Darwin Effendi Devianti Devianti Devianti Devianti Diana Samira Diana Samira Djodi Harcu Santoso Edi Husen Edi Husen Elviwirda Elviwirda Ely Kesumawaty Fajar Rahmah Fajriana, Nur Ferdeanty Ferdeanty Hairul Basri Hairunnas Hairunnas Helmi Helmi Helmi Helmi Helmi Helmi Herawati Latif Hidayani Hidayani Ikhwani Fitri Ilyas Ilyas Ilyas Ilyas Intan Apriani Irfan, Alfitha Putri Iwandikasyah Putra Karnilawati Karnilawati Karnilawati, Karnilawati Khairil Anwar Khairul Fahmi Khairul Fahmi Khairullah Khairullah Khairullah Khairullah Khairullah Khairullah Khairunnisa M Lukman Hakim M. Rusli Alibasyah M. Yunus Malem McLeod Manfarizah Manfarizah Marzuki Marzuki Mawardiana Mawardiana Mehran Mehran Minarni Minarni Mudinillah, Adam Muhammad Amin Muhammad Fachruddin Muhammad Hatta Mukhtaruddin Mukhtaruddin Mukhtaruddin Mukhtaruddin Mulkan Kautsar Munawar Khalil Muyassir Muyassir Muyassir Muyassir Nanda Adatia Nurhasanah Nurhasanah Peter Slavich Rauzatul Jannah Raziah Raziah Sahbudin Sahbudin Sahbudin Sahbudin Saiful Rahmat Syafruddin Syafruddin Syah, Sri Rahayu Syakur Syakur Syakur Syakur Syakur Syakur Syamaun A. Ali Syarifah Putri Mashtura T. Zada Nurnikmat Teti Arabia Teuku Alvisyahrin Yamsil Muhammad Yosi Widya Yolanda Yusnizar Yusnizar Yusnizar Yusnizar Zainabun Zainabun Zaitun Zaitun Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zuraida Zuraida