On-the-go variable-rate phosphorus fertilisation based on a visible and near-infrared soil sensor

Maleki, Mohammad Reza; Mouazen, Abdul Mounem; Ketelaere, Bart De; Ramón, Herman; Baerdemaeker, Josse De

doi:10.1016/j.biosystemseng.2007.09.007

Cited by 96 publications

(52 citation statements)

References 26 publications

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“…Maleki et al (2008) designed and implemented onthe-go variable rate application of P based on soil sensing (visible and near-infrared soil sensor) and suggested that the management resolution should be implemented at the meter level (1 m 2 resolution). In addition, this work showed significantly higher maize yields and less variability among soil P tests between variable rate and uniform rate treatments.…”

Section: Strategies To Improve Phosphorus Use Efficiencymentioning

confidence: 99%

World Phosphorus Use Efficiency in Cereal Crops

et al. 2017

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A current estimate of global phosphorus use effi ciency (PUE) for cereal production is not available. Th e objectives of this paper were to estimate PUE for cereal crops grown in the world and to review methods for improvement. Phosphorus use effi ciency was determined using world cereal harvested area, total grain production, and P fertilizer consumption from 1961 to 2013, in addition to assumptions established from previous literature. World PUE of cereal crops was calculated using both balance and diff erence methods. Using the balance method, cereal grain P uptake is divided by the P fertilizer applied. Alternatively, the diff erence method accounts for P coming from the soil and that is subtracted from applied P. Utilized in this analysis is the estimate that cereal production accounts for 61% of the total harvested cropland. Cereal grain yields increased from 1.35 to 3.90 Mg h -1 between 1961 and 2013. In 1961, the world's fertilizer P consumption was 4,770,182 Mg and increased to 16,662,470 Mg of P fertilizer by 2013. Th is represents a 3.5× increase in P fertilizer consumption over 53 yr. Phosphorus use effi ciency estimated using the balance method was 77%. Using the diff erence method, PUE for cereal production in the world was estimated to be 16%.

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Section: Strategies To Improve Phosphorus Use Efficiencymentioning

confidence: 99%

World Phosphorus Use Efficiency in Cereal Crops

et al. 2017

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“…To overcome these difficulties that block any attempt for reliability and comparability of results [19], some solutions were suggested by researchers; these included the selection of proper instrumentation, standards and protocol development [20], improved spectra filtering and preprocessing [21], better control of ambient conditions [8] and the appropriate selection of multivariate statistical analysis [15,22]. These approaches can significantly reduce differences between spectral measurements of the same samples by different operators in different laboratories.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

et al. 2017

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Abstract:Soil spectroscopy has shown to be a fast, cost-effective, environmentally friendly, non-destructive, reproducible and repeatable analytical technique. Soil components, as well as types of instruments, protocols, sampling methods, sample preparation, spectral acquisition techniques and analytical algorithms have a combined influence on the final performance. Therefore, it is important to characterize these differences and to introduce an effective approach in order to minimize the technical factors that alter reflectance spectra and consequent prediction. To quantify this alteration, a joint project between Czech University of Life Sciences Prague (CULS) and Tel-Aviv University (TAU) was conducted to estimate Cox, pH-H 2 O, pH-KCl and selected forms of Fe and Mn. Two different soil spectral measurement protocols and two data mining techniques were used to examine seventy-eight soil samples from five agricultural areas in different parts of the Czech Republic. Spectral measurements at both laboratories were made using different ASD spectroradiometers. The CULS protocol was based on employing a contact probe (CP) spectral measurement scheme, while the TAU protocol was carried out using a CP measurement method, accompanied with the internal soil standard (ISS) procedure. Two spectral datasets, acquired from different protocols, were both analyzed using partial least square regression (PLSR) technique as well as the PARACUDA II ® , a new data mining engine for optimizing PLSR models. The results showed that spectra based on the CULS setup (non-ISS) demonstrated significantly higher albedo intensity and reflectance values relative to the TAU setup with ISS. However, the majority of statistics using the TAU protocol was not noticeably better than the CULS spectra. The paper also highlighted that under both measurement protocols, the PARACUDA II ® engine proved to be a powerful tool for providing better results than PLSR. Such initiative is not only a way to unlock current limitations of soil spectroscopy, but also offers considerable efficiency and cost-and time-saving possibilities, which lead to further improvements in prediction performance of spectral models.

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“…In addition, it is more adaptable to the requirement of realtime soil management and precision agriculture (Hummel et al, 2001;Maleki et al, 2008;Vasques and Grunwald, 2008). The main factors that influence soil spectra in the VNIR region include soil minerals composition (such as clay materials [Viscarra Rossel et al, 2006], iron bearing materials [Mortimore et al, 2004], and carbonates [Hunt and Salisbury, 1970]), soil moisture (Mouazen et al, 2006), soil surface (such as the color and particle size [Dunn et al, 2002;Barthes et al, 2008]), and SOM .…”

Section: Introductionmentioning

confidence: 99%