Determination and Prediction of Some Soil Properties using Partial Least Square (PLS) Calibration and Mid-Infra Red (MIR) Spectroscopy Analysis

Abstract

Most developing areal for peanut crop (Arachis hoypogeae) is upland, that is dominated by parent soil and has acid characteristis. Main constraints for this soil are pH and low soil productivity. Dolomite plus is a dolomite ameliorant, with phosphate nutrient. The dolomite plus beside as the ameliorant and a source of magnecium and calcium nutrients, also as a source of phosphate nutrient. The objective of the research was to study effectivity of dolomite plus on peanut growth in Inceptisols soil. This research was conducted in the greenhouse using a randomize completely designed with 8 treatments and 5 replications. The treatments were control, NPK, and combinations of NPK with six dolomite plus levels. Relative Agronomic Effectiveness (RAE) analyses was used determine to the effectivity of dolomite plus. The result showed that application of dolomite plus 1,600 kg ha -1 with NPK fertilizer increased dry weight of grain yield untill 27% (11.53 to 14.65 g plant -1 ) compared to NPK fertilizer application alone, that was showed by RAE > 100% or among 171-251%. Application of dolomite plus with NPK increased soil pH, soil available P (Bray 1), Ca and Mg exchangeable, and CEC as 1.9 unit; 6.2 mg kg -1 ; 15.87 cmol(+) kg -1 ; 14.27 cmol(+) kg -1 ; and 17.29 cmol(+) kg -1 respectively. Maximum rate of dolomite plus was 2,500 kg ha -1 with the yield was 14.2 g plant -1 grain dry weight. The rate of dolomite plus that was higher than 2,500 kg ha -1 could decrease the yield.

Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review

“…The results proved that the global models were more accurate than the local ones. Furthermore, several researchers studied the performance of coupling MIR and PLS for the prediction of important soil properties [100][101][102][103][104][105][106][107][108]. The results generally led to successful predictions, figure 3 shows as an example the result obtained by Waruru et al [105].…”

Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization: A review

“…Both vis-NIRS (Chang et al, 2005;Coûteaux et al, 2003;Fystro, 2002;Gates, 2018;Kodaira and Shibusawa, 2011;Kuang and Mouazen, 2011;McCarty and Reeves, 2006;Morellos et al, 2016;Nawar and Mouazen, 2017a;Rajendram and Devey, 2001;Vågen et al, 2006;Van Groenigen et al, 2003;Vohland et al, 2014;Wang et al, 2015;Xie et al, 2011;Yang and Mouazen, 2012) and MIR (Djuuna et al, 2011;Du et al, 2009;Gates, 2018;Janik et al, 1998;Ji et al, 2016a,b;Madhavan et al, 2016;McCarty and Reeves, 2006;Merry and Janik, 2006;Minasny et al, 2009;Rajendram and Devey, 2001;Sisouane et al, 2017;Van Groenigen et al, 2003;Vohland et al, 2014;Xie et al, 2011;Yang and Mouazen, 2012) were documented to measure TN successfully (Table 1). Fystro (2002) used vis-NIRS to predict TN, with a coefficient of determination (R 2 ) of 0.80 and a ratio of prediction deviation (RPD) of 2.1.…”