A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction
Article
Roberton S.D., Lobsey, C.R. and Bennett, J.McL.. 2021. "A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction
." Geoderma. 382. https://doi.org/10.1016/j.geoderma.2020.114705
| Article Title | A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction |
|---|---|
| ERA Journal ID | 5257 |
| Article Category | Article |
| Authors | Roberton S.D., Lobsey, C.R. and Bennett, J.McL. |
| Journal Title | Geoderma |
| Journal Citation | 382 |
| Article Number | 114705 |
| Number of Pages | 14 |
| Year | 2021 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 0016-7061 |
| 1872-6259 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.geoderma.2020.114705 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0016706119329465 |
| Abstract | As the development of predictive tools to aid decision making in agriculture increases, it must be acknowledged that the ability to incorporate management decisions as input data is limited. The data is either not recorded, or highly inadequate in terms of the volume, variety or relevance. Some circumstances are further hampered by the lack of benchmark data for comparison, and soil compaction is an example of this. The premise of this work was to take a probability based approach to decision making, utilising both qualitative and quantitative data to provide a probability distribution of risk against decisions made, in the context of grains production systems as an example of an agricultural enterprise. A Bayesian Belief Network (BBN) was constructed for soil compaction risk, as an exemplar. The BBN conditional probability tables for nodes were populated via a combination of biophysical model output (namely SoilFlex for soil stress distribution, and the APSIM package for soil-water and crop parameters) and expert opinion. Input nodes were parameterised with measured soil data, and the risk of soil compaction, given the soil stress at the wheel of a particular vehicle, was provided as the output. Potential effect on yield was subsequently calculated on the basis of percent change in soil bulk density, which was determined using literature based information (expert opinion). The tool broadly estimated yield impacts due to various agricultural traffic scenarios, providing means to highlight the financial consequences of failing to adopt controlled traffic farming management for a particular agricultural enterprise. Of significance, the BBN approach was determined useful for data limiting environments where empirical models struggle, thus providing a pragmatic and novel approach to on farm decision making incorporating management nuance. |
| Keywords | Constraint economics; Pedometrics; Precision agriculture; Soil constraints |
| ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Funder | Cotton Research and Development Corporation |
| Byline Affiliations | Centre for Sustainable Agricultural Systems |
Permalink -
https://research.usq.edu.au/item/xq6xq/a-bayesian-approach-toward-the-use-of-qualitative-information-to-inform-on-farm-decision-making-the-example-of-soil-compaction
49
total views1
total downloads0
views this month0
downloads this month
Export as
Related outputs
Selection of a stress-based soil compaction test to determine potential impact of machine wheel loads
Ali, Aram, Bennett, John McLean, Roberton, Stirling, Krwanji, Diman, Zhu, YingCan and West, David. 2024. "Selection of a stress-based soil compaction test to determine potential impact of machine wheel loads." European Journal of Soil Science. 75 (3). https://doi.org/10.1111/ejss.13501A cost-effective approach to estimate plant available water capacity
Gajurel, Suman, Lai, Yunru, Lobsey, Craig and Pembleton, Keith G.. 2024. "A cost-effective approach to estimate plant available water capacity." Geoderma. 442. https://doi.org/10.1016/j.geoderma.2024.116794Screening two biodegradable polymers in enhanced efficiency fertiliser formulations reveals the need to prioritise performance goals
Redding, M.R., Witt, T., Lobsey, C.R., Mayer, D.G., Hunter, B., Pratt, S., Robinson, N., Schmidt, S., Laycock, B. and Phillips, I.. 2022. "Screening two biodegradable polymers in enhanced efficiency fertiliser formulations reveals the need to prioritise performance goals." Journal of Environmental Management. 304. https://doi.org/10.1016/j.jenvman.2021.114264Targeting Subsoil Constraints in Southern Queensland: Concept Proof of Spraying Polyacrylamide for Subsoil Stabilisation during Tillage
Zhu, Yingcan, Ali, Aram, Bennett, John McLean, Guppy, Chris and McKenzie, David. 2022. "Targeting Subsoil Constraints in Southern Queensland: Concept Proof of Spraying Polyacrylamide for Subsoil Stabilisation during Tillage ." Sustainability. 14 (20), pp. 1-16. https://doi.org/10.3390/su142013147Effects of sodium adsorption ratio and electrolyte concentration on soil saturated hydraulic conductivity
Liu, Xinmin, Zhu, Yingcan, Bennett, John McLean, Wu, Laosheng and Li, Hang. 2022. "Effects of sodium adsorption ratio and electrolyte concentration on soil saturated hydraulic conductivity ." Geoderma. 414, pp. 1-8. https://doi.org/10.1016/j.geoderma.2022.115772The soil-water cost of heavy machinery traffic on a Queensland Vertisol, Australia
McGeary, R., West, D.J., Roberton S.D. and Bennett, J. McL. 2022. "The soil-water cost of heavy machinery traffic on a Queensland Vertisol, Australia ." Geoderma Regional. 29, pp. 1-9. https://doi.org/10.1016/j.geodrs.2022.e00506Final Technical Report: Economics of soil practices adoption in the northern region
Cockfield, Geoff, Ghahramani, Afshin, An-Vo, Duc-Anh, Roberton, Stirling, Bennett, John and McKenzie, David. 2022. Final Technical Report: Economics of soil practices adoption in the northern region. Australia. GRDC.A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil
Ghahramani, Afshin, Bennett, John McLean, Ali, Aram, Reardon-Smith, Kathryn, Dale, Glenn, Roberton, Stirling D. and Raine, Steven. 2021. "A risk-based approach to mine-site rehabilitation: use of Bayesian Belief Network Modelling to manage dispersive soil and spoil." Sustainability. 13 (20), pp. 1-23. https://doi.org/10.3390/su132011267Australian rapid-response airborne observation of the Hayabusa2 reentry
Zander, Fabian, Buttsworth, David R., Birch, Byrenn, Noller, Lachlan, Wright, Duncan, James, Christopher M., Thompson, Matthew, Apirana, Steven, Leis, John, Lobsey, Craig and Payne, Allan. 2021. "Australian rapid-response airborne observation of the Hayabusa2 reentry." Journal of Spacecraft and Rockets. 58 (6), pp. 1915-1919. https://doi.org/10.2514/1.A35062A data driven approach for diagnosis and management of yield variability attributed to soil constraints
Roberton, Stirling Donoghue. 2019. A data driven approach for diagnosis and management of yield variability attributed to soil constraints. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/kn99-wp85Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region
Ghahramani, Afshin, An-Vo, Duc-Anh, Rochecouste, John, Mushtaq, Shahbaz, Roberton, Stirling, Bennett, John McLean and Cockfield, Geoff. 2018. Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region. Toowoomba, Australia. University of Southern Queensland.Assessing the Sensitivity of Site-Specific Lime and Gypsum Recommendations to Soil Sampling Techniques and Spatial Density of Data Collection in Australian Agriculture: A Pedometric Approach
Roberton, Stirling, Bennett, John McL., Lobsey, Craig R. and Bishop, Thomas F. A.. 2020. "Assessing the Sensitivity of Site-Specific Lime and Gypsum Recommendations to Soil Sampling Techniques and Spatial Density of Data Collection in Australian Agriculture: A Pedometric Approach ." Agronomy. 10 (11), pp. 1-18. https://doi.org/10.3390/agronomy10111676The soil structural cost of traffic from heavy machinery in vertisols
Bennett, J. McL., Roberton, S. D., Marchuk, S., Woodhouse, N. P., Antille, D. L., Jensen, T. A. and Keller, T.. 2019. "The soil structural cost of traffic from heavy machinery in vertisols." Soil and Tillage Research. 185, pp. 85-93. https://doi.org/10.1016/j.still.2018.09.007Efficacy of delaying cotton defoliation to mitigate compaction risk at wet harvest
Roberton, Stirling and Bennett, John McL.. 2017. "Efficacy of delaying cotton defoliation to mitigate compaction risk at wet harvest." Crop and Pasture Science. 68 (5), pp. 466-473. https://doi.org/10.1071/CP17117rs-local data-mines information from spectral libraries to improve local calibrations
Lobsey, C. R., Viscarra Rossel, R. A., Roudier, P. and Hedley, C. B.. 2017. "rs-local data-mines information from spectral libraries to improve local calibrations." European Journal of Soil Science. 68 (6), pp. 840-852. https://doi.org/10.1111/ejss.12490Scoping review of proximal soil sensors for grain growing
Viscarra Rossel, Raphael A. and Lobsey, Craig. 2016. Scoping review of proximal soil sensors for grain growing. Canberra, Australia. CSIRO Publishing. https://doi.org/10.4225/08/5953fcda5ab78Novel soil profile sensing to monitor organic C stocks and condition
Viscarra Rossel, Raphael A., Lobsey, Craig R., Sharman, Chris, Flick, Paul and McLachlan, Gordon. 2017. "Novel soil profile sensing to monitor organic C stocks and condition." Environmental Science and Technology. 51 (10), pp. 5630-5641. https://doi.org/10.1021/acs.est.7b00889Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon
Roudier, P., Hedley, C.B., Lobsey, C .R., Viscarra Rossel, R. A. and Leroux, C.. 2017. "Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon." Geoderma. 296, pp. 98-107. https://doi.org/10.1016/j.geoderma.2017.02.014A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource
Bennett, John McL., Roberton, Stirling D., Jensen, Troy A., Antille, Diogenes L. and Hall, Jake. 2017. "A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource." Soil and Tillage Research. 168, pp. 143-154. https://doi.org/10.1016/j.still.2016.12.012Proximal soil sensing. An effective approach for soil measurements in space and time
Viscarra Rossel, R. A., McKenzie, N. J., Adamchuk, V. I., Sudduth, K. A. and Lobsey, C.. 2011. "Proximal soil sensing. An effective approach for soil measurements in space and time." Advances in Agronomy. 113, pp. 237-282. https://doi.org/10.1016/B978-0-12-386473-4.00010-5Baseline estimates of soil organic carbon by proximal sensing: comparing design-based, model-assisted and model-based inference
Viscarra Rossel, R. A., Brus, D. J., Lobsey, C., Shi, Z. and McLachlan, G.. 2016. "Baseline estimates of soil organic carbon by proximal sensing: comparing design-based, model-assisted and model-based inference." Geoderma. 265, pp. 152-163. https://doi.org/10.1016/j.geoderma.2015.11.016Sensing of soil bulk density for more accurate carbon accounting
Lobsey, C. R. and Viscarra Rossel, R. A.. 2016. "Sensing of soil bulk density for more accurate carbon accounting." European Journal of Soil Science. 67 (4), pp. 504-513. https://doi.org/10.1111/ejss.12355This item comprises data from the following sources: Scopus