Feed Gate Adaptation of a Spinner Spreader for Uniformity Control

Kweon, Giyoung; Grift, Tony E.

doi:10.1016/j.biosystemseng.2006.05.003

Cited by 19 publications

(10 citation statements)

References 33 publications

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“…Previous research found the initial drop location of particles on the disc was one of the most sensitive factors affecting the spread pattern [10,13,14] . This finding rendered spreading pattern optimum for varying application rates by controlling the position of the feed gates [2] .…”

Section: Introduction mentioning

confidence: 97%

“…Spinner spreaders are multi-purpose applicators that have advantages such as wide spreading, simple structure, reliability, affordable price level, high durability, and low maintenance costs [2] . However, they also possess a shortcoming in that uniform spreading of the fertilizer is not achieved [3,4] .…”

Section: Introduction mentioning

confidence: 99%

“…Spread analysis tools were developed for computing application rate, uniformity and overlapped pattern at a range of swath widths [15][16][17] . Kweon and Grift [2] developed feed gate adaptation algorithm based on the spread analysis tools to improve uniformity variability and showed the algorithm was able to produce high quality patterns at any application rate in simulations.…”

Section: Introduction mentioning

confidence: 99%

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Development of a variable rate applicator for uniform fertilizer spreading

Han

Lee

Hong

et al. 2019

International Journal of Agricultural and Biological Engineering

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Environmental impact and economic concerns have driven a variable rate technology (VRT). Spinner spreaders were mainly used for granular fertilizer application since they are simple in design, inexpensive, and can cover large areas. However, the spreader was not adequate for VRT because uniformity changes drastically while varying application rates. Thus, the purpose of this study was to develop a variable rate applicator with uniform spreading patterns. A commercial spreader was modified with a controller and electric actuators for controlling fertilizer discharge directions and amounts. Database was established to determine the optimum discharge direction according to the fertilizer application amount. The uniformity of spreading patterns in accordance with the spread amount per set unit area was evaluated by the statistical coefficient of variation (CV) lower than 15% is assumed to prevent damage to the crop. Test results showed that CVs were 8%, 9%, and 8%, respectively, for a tractor in race track mode (adjacent passes in same direction of travel) at 200 kg/hm 2 , 300 kg/hm 2 , and 400 kg/hm 2. This indicates that the fertilizer was spread uniformly, while the coefficient of variation was 12% at 200 kg/hm 2 in back and forth mode (adjacent passes in the opposite direction of travel). Overall, the results suggest that the race track mode is suitable for operation of a tractor to ensure uniform spreading of fertilizer when applying at variable rates. The future goal is to establish a system for automatic variable rate application according to location in connection with soil analysis and geographic information systems.

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Section: Introduction mentioning

confidence: 97%

Section: Introduction mentioning

confidence: 99%

Section: Introduction mentioning

confidence: 99%

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Development of a variable rate applicator for uniform fertilizer spreading

Han

Lee

Hong

et al. 2019

International Journal of Agricultural and Biological Engineering

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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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“…particle size distribution, biochemical composition) can significantly affect the specific energy requirements of the process (Nielsen et al 2009;Tumuluru et al 2011;Gadernejad et al 2012): anyway, the high energy input required makes it uneconomical and not practical for farmers to directly purchase and operate a pellet mill. Commonly, pellet distribution is carried out with rotating spreaders, designed for granular formulations, whose performance and hence evenness of spread pattern depends both on machine engineering (Hofstee 1994(Hofstee , 1995Kweon and Grift 2006;Parish 2006) and on fertilizer physical properties (Hofstee and Huisman 1990;Aphale et al 2003;Grift et al 2006;Suppadit and Panomsri 2010), which are also important to calculate the volume needed to store, transport, handle and calibrate fertilizer spreaders (Agnew and Leonard 2003;Campbell et al 2010).…”

Section: Introductionmentioning

confidence: 99%