Error Sources Affecting Variable Rate Application of Nitrogen Fertilizer

Chan, C. W.; Schueller, John K.; Miller, William M.; Whitney, J. D.; Cornell, John A.

doi:10.1007/s11119-004-6345-2

Cited by 15 publications

(6 citation statements)

References 9 publications

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“…Previous research has illustrated that the practical implementation of SSCM strategies such as VR application of N or seed rates is affected by a wide range of uncertainties as well as application errors (Doerge, 2002; Chan et al, 2005; Liu et al, 2006). Integrating traditional agronomic research with economic principles, precision farming technologies, and spatial statistics may allow collecting more site‐specific crop response information and thus help overcome such problems (Bullock and Bullock, 2000; Bullock et al, 2002; Ruffo et al, 2006).…”

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confidence: 99%

Site‐Specific Nitrogen and Plant Density Management in Irrigated Maize

2008

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A gronomy J our n al • Volu me 10 0 , I s sue 4 • 2 0 0 8 ABSTRACT Economic or environmental benefi ts resulting from variable-rate (VR) application of N and seed are uncertain in irrigated maize (Zea mays L.) systems with high yield potential. We evaluated diff erent plant population and N management strategies in two irrigated maize fi elds in Nebraska. Inputs were varied according to yield zones derived from yield maps, detailed maps of soil organic matter (SOM), and sampled seasonal NO 3 status. Uniform management following Best Management Practices (BMPs) resulted in high levels of grain yield (>15 t ha −1 at Site 1; >12 t ha −1 at Site 2), nitrogen use effi ciency (NUE), and gross return above input cost. Management of high-yielding irrigated systems on relatively fl at terrain was not improved through the predictive site-specifi c approaches tested in this study, which relied on available historical fi eld information (yield maps, weather) and seasonal soil sampling. Among four site-years, only one site-year showed signifi cant increases in yield and NUE and decrease in N input with the VR N. Yield interactions between VR N management strategies and plant population were not signifi cant. More potential for increasing yields, resource effi ciency, and profi tability may exist through integrating such approaches with dynamic, in-season management of water and N. Such approaches are emerging, but remain to be evaluated thoroughly, particularly under high-yielding conditions and against conventional BMPs.

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confidence: 99%

Site‐Specific Nitrogen and Plant Density Management in Irrigated Maize

2008

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“…This range of the response time is similar to the ranges of 1.5-3.03 and 2-5 s obtained in previous studies. [15][16][17] …”

Section: Response Time To the Rfid Triggered Application Ratementioning

confidence: 99%

A Novel Variable Rate Pneumatic Fertilizer Applicator

Ishola

Yahya

Shariff

et al. 2014

Instrumentation Science & Technology

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& The canopy prevents the use of global positioning system based fertilizer applicators in oil palm plantations. Hence, a radio frequency identification triggered variable rate pneumatic fertilizer system was developed for this application. A real-time embedded system was used as the core controller, Lab-VIEW software was used to program and coordinate the operations of the embedded system and the host computer. A speed measuring unit was used to provide feedback to the system. A field test was conducted to examine the response time. The sensors were calibrated in the laboratory and the measurement linearity had regression coefficients close to 1. Two to three seconds were required for the device to respond to changes in application rate. It is expected that this approach will become an alternative in plantations where the canopy hinders proper application of global positioning systems.

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“…There are two main VRF systems: prescription map-based and real-time sensor-based [4][5][6][7][8][9][10] . The former system, which divides a crop field into small grids and applies fertilizer depending on the prescription map, has a widespread use for crop field fertilization [11][12][13][14] . In the latter system, the data from the sensor are collected, processed, and interpreted by an on-board computer in real-time to guide fertilization.…”

Section: Introductionmentioning

confidence: 99%

Wolfberry tree dual-model detection method and orchard target-oriented fertilization system based on photoelectric sensors

Yang¹,

Zhai²,

Long³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Orchard target-oriented fertilizing with on-board sensor technology can improve fertilizer efficiency and reduce environmental pollution. Photoelectric sensors are widely used for object detection because of their low cost and fast response time. This paper presents a Wolfberry tree dual-model detection method and the design of an orchard target-oriented variable-rate fertilization system based on photoelectric sensors. The dual-model detection method includes the Trunk Detection Model (TDM) and Canopy Detection Model (CDM), which can be applied for Wolfberry orchards at the green cluster and mature stages, respectively. A target-oriented fertilization system was designed using the dual-model method, and tested in the lab and Chinese Wolfberry orchard. The laboratory test results showed that the average center offset distances on the condition of detecting trunks, continuous canopies, and discontinuous canopies were 4.1 cm, 9.1 cm and 13.1 cm, respectively. The system could ignore the signals from canes when their diameters were less than 16 mm, and also could determine the gaps within a tree when they were less than 21 cm. The orchard test results showed that the system accomplished target-oriented fertilization 95 times for 92 trees at the mature stage. The results indicated that the dual-model detection method could be used for Wolfberry trees or other trees with similar canopy changes at different growth stages.

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Error Sources Affecting Variable Rate Application of Nitrogen Fertilizer

Cited by 15 publications

References 9 publications

Site‐Specific Nitrogen and Plant Density Management in Irrigated Maize

Site‐Specific Nitrogen and Plant Density Management in Irrigated Maize

A Novel Variable Rate Pneumatic Fertilizer Applicator

Wolfberry tree dual-model detection method and orchard target-oriented fertilization system based on photoelectric sensors

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