Application Equipment for Site-Specific Management

Anderson, N.; Homburg, D.S.

doi:10.2134/1997.stateofsitespecific.c12

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…The identified errors are then used to regulate the command response. Therefore, the error tends to approach zero since the mechanical regulator becomes increasingly accurate in applying the goal amount [9]. A granular applicator developed by Kim et al [10] included a boom type pneumatic transmission system, a microcontroller, and a DGPS receiver.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Variable Rate Applicator for Real-Time Application of Fertilizer

et al. 2021

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Variable rate technology offers a sustainable, efficient, and cost-effective solution for fertilizer application. A study was conducted to design and develop a variable rate fertilizer applicator to detect real-time deficiency of N within the field and apply it per requirement of the crop. The microcontroller system was designed to receive a signal from the N sensor and send a signal to the pulse-width-modulation valve to vary the rotational speed of the hydraulic motor resulting in variation in the rotation of the metering mechanism drive shaft based on the recommended amount of fertilizer. During the field study, three replications were conducted, each of which was divided into four plots. The response time between the N sensing and fertilizer discharging fell within the range of 3.49 to 4.90 s. Fertilizer applied using the developed variable rate applicator indicated that when the fertilizer rate is increased from N1 to N4 (kg ha−1), NDVI increased from 0.56 to 0.78 and drive shaft rotational speed decreased from 20 to 0 rpm in order to apply the fertilizer at a rate of 0.00 instead of 78.36 kg ha−1. Using the developed applicator demonstrates that this technology could reduce environmental impact, making farming more sustainable.

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Section: Introductionmentioning

confidence: 99%

Design and Development of a Variable Rate Applicator for Real-Time Application of Fertilizer

et al. 2021

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A response-surface calibration model for rapid and versatile site-specific lime-requirement predictions in south-eastern Australia

Rossel¹,

McBratney²

2001

Soil Res.

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The development of response-surface calibration models that may be used in conjunction with the lime requirement buffer methods is described. The buffer methods tested were the Woodruff, New Wooruff, Mehlich, and Shoemaker, McLean and Pratt lime-requirement buffers. Model predictions were compared with those obtained from multivariate models and buffer methods calibrated using conventional linear regressions. The multivariate models described lime requirement as a function of a number of soil variables. All of the models were validated against soil : CaCO 3 incubations using a statistical jackknifing procedure for error and bias estimations. The advantages of the derived response-surface models were their improved prediction accuracy and flexibility, with a choice of any target pH CaCl 2 value between 5.5 and 7 without need for individual calibrations. The response-surface model for the Woodruff buffer method produced the most accurate predictions of lime requirement. The uncertainty of its lime requirement predictions for acid soil in an agricultural field at Kelso, New South Wales, Australia, measured by 95% confidence intervals, was 0.22 Mg/ha. A spatial analysis of lime requirement for the field showed a range of 4–11 Mg/ha. This range provides a reason for site-specific lime applications. Under- and over-applications resulting from a ‘blanket’ 7.13 Mg/ha single-rate application of lime over the field were estimated to range from –4 to 2.9 Mg/ha.

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Coping with variability in agricultural production ‐implications for soil testing and fertiliser management

Cook

Bramley

2000

Communications in Soil Science and Plant Analysis

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Decisions about fertiliser applications are fraught with uncertainty. Uncertainty about the outcome of an application of fertiliser is caused by unknown or uncontrolled variation about the condition of the soil to which it is applied, its fate, and the demand from the crop. Uncertainty can be eased by providing information which reduces ignorance about the likely outcomes of applying fertiliser, thereby increasing the decision-maker's chances of success. Such information could include analyses of soil and plant tissue, prior information about crop performance, and predictions of climate and prices. This information could be used to improve the rate, location and timing of applications. Precision agriculture technology greatly enhances our ability to acquire and manage more of this information. However, information costs money, which must be traded-off against the greater likelihood of success. This trade-off is very difficult to evaluate, and in practice depends on a range of factors, including the availability of data, current understanding of its meaning and the preferences of the decision-maker.

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Application Equipment for Site-Specific Management

Cited by 4 publications

References 15 publications

Design and Development of a Variable Rate Applicator for Real-Time Application of Fertilizer

Design and Development of a Variable Rate Applicator for Real-Time Application of Fertilizer

A response-surface calibration model for rapid and versatile site-specific lime-requirement predictions in south-eastern Australia

Coping with variability in agricultural production ‐implications for soil testing and fertiliser management

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