Combined effects of nitrification inhibitor and zeolite on greenhouse gas fluxes and corn growth

Jumadi, Oslan; Hala, Yusminah; Iriany, R. Neni; Makkulawu, Andi Takdir; Baba, Junja; Hartono,; Hiola, St. Fatmah; Inubushi, Kazuyuki

doi:10.1007/s11356-019-06776-6

Cited by 10 publications

(2 citation statements)

References 32 publications

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“…Neem cake is derived from natural compounds, so less expensive, but also less effective to compare with chemical inhibitors [21]. Combined effects of a nitrification inhibitor, including DCD, neem, and clay mineral (zeolite) on N 2 O fluxes and corn growth were examined ( [29]; Figure 8). Another biological nitrification inhibitor is also examined [30].…”

Section: Figurementioning

confidence: 99%

Mitigation of Climate Change by Nitrogen Managements in Agriculture

Inubushi¹,

Yashima²

2021

Nitrogen in Agriculture - Physiological, Agricultural and Ecological Aspects [Working Title]

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Soil is one of the important sources of nitrous oxide (N2O), which is generally producing through soil microbial processes, such as nitrification and denitrification. Agricultural soils receive chemical and organic fertilizers to maintain or increase crop yield and soil fertility, but several factors are influencing N2O emissions, such as types and conditions of soil and fertilizer, and rate, form, and timing of application. Mitigation of N2O is a challenging topic for future earth by using inhibitors, controlled-release fertilizers, and other amendments, but the cost and side effects should be considered for feasibility.

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Section: Figurementioning

confidence: 99%

Mitigation of Climate Change by Nitrogen Managements in Agriculture

Inubushi¹,

Yashima²

2021

Nitrogen in Agriculture - Physiological, Agricultural and Ecological Aspects [Working Title]

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“…The soil at the experiment site was an alluvial soil type. The texture of field soil was 8% sand, 54% silt, 38% clay which belongs to texture classified as silty clay loam [19].…”

Section: Data Collection and Design Of Experimentsmentioning

confidence: 99%

Discrimination of Nitrogen Concentration of Fertilized Corn with Extracted Algae and Polymer Based on Its Leaf Color Images

Djawad¹,

Rehman²,

Jumadi³

et al. 2020

ISI

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Determination of nitrogen levels in plants is essential for variable rate fertilizer application in precision agriculture. In the past, several techniques have been developed for nitrogen concentration estimation in plants and crops employing vision system, however, they are computationally expensive and hence requires a considerable amount of time to produce accurate results. The technique developed in this work the determination of nitrogen levels in plants could be achieved effectively in real-time time by advance image processing techniques, machine visions and support vector machine (SVM) with MATLAB. The developed technique processes leaf's colored image via examining it Red, Green and Blue (RGB) values and compares them with standard intensity levels. The experimental results show effectiveness of the developed technique and accurately detect low or high concentration levels in corn. In addition, this method depends on two techniques for a final result, i.e. color intensity and SVM. If the answer is not similar between the two techniques the process will be repeated until the detection is similar. This study could be applied to a variety of crops, since this technique does not require large collection of data for training and special expertise for its on-field application.

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