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

doi:10.1023/a:1013378321265

Cited by 12 publications

(1 citation statement)

References 3 publications

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“…Accuracy problems can occur if there is insufficient data to establish the true accuracy of the sensing method over the entire range of operation (Chan et al, 2002). Calibration requires sufficient data points and replications that adequately cover the inference space of all the yield ranges and the conditions under which the yield sensor will be used, and that there are no confounding covariants.…”

Section: Comparison Of the Different Approachesmentioning

confidence: 99%

Yield sensing technologies for perennial and annual horticultural crops: a review

et al. 2022

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Yield maps provide a detailed account of crop production and potential revenue of a farm. This level of details enables a range of possibilities from improving input management, conducting on-farm experimentation, or generating profitability map, thus creating value for farmers. While this technology is widely available for field crops such as maize, soybean and grain, few yield sensing systems exist for horticultural crops such as berries, field vegetable or orchards. Nevertheless, a wide range of techniques and technologies have been investigated as potential means of sensing crop yield for horticultural crops. This paper reviews yield monitoring approaches that can be divided into proximal, either direct or indirect, and remote measurement principles. It reviews remote sensing as a way to estimate and forecast yield prior to harvest. For each approach, basic principles are explained as well as examples of application in horticultural crops and success rate. The different approaches provide whether a deterministic (direct measurement of weight for instance) or an empirical (capacitance measurements correlated to weight for instance) result, which may impact transferability. The discussion also covers the level of precision required for different tasks and the trend and future perspectives. This review demonstrated the need for more commercial solutions to map yield of horticultural crops. It also showed that several approaches have demonstrated high success rate and that combining technologies may be the best way to provide enough accuracy and robustness for future commercial systems.

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Section: Comparison Of the Different Approachesmentioning

confidence: 99%

Yield sensing technologies for perennial and annual horticultural crops: a review

et al. 2022

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Variable Rate Application of Fertilizer in Citrus

Chan

2012

Advances in Citrus Nutrition

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Spatially variable application of fertilizer to citrus fi elds is dependent upon accuracy of the input variables. The accuracy in determining a variable rate application map and the application accuracy are important. An accuracy model is described using a 3.6-ha Florida citrus block. The effects of boundary determination, interpolation method, and global positioning system (GPS) location errors were studied for determining a variable rate nitrogen application map based upon citrus yield maps. Accuracy models can be developed considering interaction among GPS horizontal accuracy, differential GPS (DGPS) sampling frequencies, and machine delay times of a hypothetical variable rate applicator for nitrogen (N) fertilizer application based on an application map. Parameters studied included fi ve GPS horizontal accuracy levels, two levels of DGPS horizontal accuracy, two DGPS sampling frequencies, and two machine delay times. Two integrated models were developed which documented the effects of the parameters. Machine delay time was the most important factor, and GPS horizontal accuracy was the second most important.

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Error Sources Affecting Variable Rate Application of Nitrogen Fertilizer

et al. 2004

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The accuracy and interaction among global positioning system (GPS) horizontal accuracy, differential GPS (DGPS) sampling frequencies and machine delay times of a hypothetical variable rate applicator for nitrogen (N) fertilizer application based on an application map in Florida citrus were studied. Parameters studied included: five GPS horizontal accuracy levels, two levels of DGPS horizontal accuracy, two DGPS sampling frequencies and two machine delay times. Two integrated models were developed which documented the effects of the parameters. Machine delay time was the most important factor and GPS horizontal accuracy was the second most important.

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Cited by 12 publications

References 3 publications

Yield sensing technologies for perennial and annual horticultural crops: a review

Yield sensing technologies for perennial and annual horticultural crops: a review

Variable Rate Application of Fertilizer in Citrus

Error Sources Affecting Variable Rate Application of Nitrogen Fertilizer

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