Brendan Malone, David Biggins, Chris Sharman, Ross Searle, Mark Glover, Stuart Brown
{"title":"就农场规模的土壤水分传感和绘图系统的设计、安装、运行和维护提供经验介绍和建议","authors":"Brendan Malone, David Biggins, Chris Sharman, Ross Searle, Mark Glover, Stuart Brown","doi":"10.1071/sr24004","DOIUrl":null,"url":null,"abstract":"<strong> Context</strong><p>The research explores the benefits of real time tracking of soil moisture for various land management contexts and the importance of spatio-temporal modelling and mapping to gain clear and visual understanding of soil moisture fluxes across a farm.</p><strong> Aims</strong><p>This research aims to outline the key processes required for building an operational on-farm soil moisture monitoring system where the product is highly granular daily soil moisture maps depicting variations temporally, spatially and vertically.</p><strong> Methods</strong><p>We describe processes of capacitance soil moisture probe installation, data collection infrastructure, sensor calibration, spatio-temporal modelling, and mapping.</p><strong> Key results</strong><p>An out-of-bag soil moisture evaluation modelling system was tested for nearly 2 years. We found a model accuracy (RMSE) estimate of 0.002 cm<sup>−3</sup> cm<sup>−3</sup> and concordance of 0.96 were found. This result is averaged over this period but fluctuated daily, and related to rainfall patterns across the target farm, which were not directly incorporated into the modelling framework. As expected, incorporating prior estimates of soil moisture into the modelling framework contributed to very accurate estimates of real time available soil moisture.</p><strong> Conclusions</strong><p>This research promotes the importance of iterative improvements to the soil moisture monitoring system, particularly in areas of sensor recalibration and spatio-temporal modelling. We stress the need for a longer-term view and plan for ongoing maintenance and improvement of such systems in the emerging digital farming ecosystem.</p><strong> Implications</strong><p>The results of this research will be useful for researchers and practitioners involved in the design and implementation of on-farm soil monitoring systems.</p>","PeriodicalId":21818,"journal":{"name":"Soil Research","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An experiential account with recommendations for the design, installation, operation and maintenance of a farm-scale soil moisture sensing and mapping system\",\"authors\":\"Brendan Malone, David Biggins, Chris Sharman, Ross Searle, Mark Glover, Stuart Brown\",\"doi\":\"10.1071/sr24004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong> Context</strong><p>The research explores the benefits of real time tracking of soil moisture for various land management contexts and the importance of spatio-temporal modelling and mapping to gain clear and visual understanding of soil moisture fluxes across a farm.</p><strong> Aims</strong><p>This research aims to outline the key processes required for building an operational on-farm soil moisture monitoring system where the product is highly granular daily soil moisture maps depicting variations temporally, spatially and vertically.</p><strong> Methods</strong><p>We describe processes of capacitance soil moisture probe installation, data collection infrastructure, sensor calibration, spatio-temporal modelling, and mapping.</p><strong> Key results</strong><p>An out-of-bag soil moisture evaluation modelling system was tested for nearly 2 years. We found a model accuracy (RMSE) estimate of 0.002 cm<sup>−3</sup> cm<sup>−3</sup> and concordance of 0.96 were found. This result is averaged over this period but fluctuated daily, and related to rainfall patterns across the target farm, which were not directly incorporated into the modelling framework. As expected, incorporating prior estimates of soil moisture into the modelling framework contributed to very accurate estimates of real time available soil moisture.</p><strong> Conclusions</strong><p>This research promotes the importance of iterative improvements to the soil moisture monitoring system, particularly in areas of sensor recalibration and spatio-temporal modelling. We stress the need for a longer-term view and plan for ongoing maintenance and improvement of such systems in the emerging digital farming ecosystem.</p><strong> Implications</strong><p>The results of this research will be useful for researchers and practitioners involved in the design and implementation of on-farm soil monitoring systems.</p>\",\"PeriodicalId\":21818,\"journal\":{\"name\":\"Soil Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1071/sr24004\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1071/sr24004","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
An experiential account with recommendations for the design, installation, operation and maintenance of a farm-scale soil moisture sensing and mapping system
Context
The research explores the benefits of real time tracking of soil moisture for various land management contexts and the importance of spatio-temporal modelling and mapping to gain clear and visual understanding of soil moisture fluxes across a farm.
Aims
This research aims to outline the key processes required for building an operational on-farm soil moisture monitoring system where the product is highly granular daily soil moisture maps depicting variations temporally, spatially and vertically.
Methods
We describe processes of capacitance soil moisture probe installation, data collection infrastructure, sensor calibration, spatio-temporal modelling, and mapping.
Key results
An out-of-bag soil moisture evaluation modelling system was tested for nearly 2 years. We found a model accuracy (RMSE) estimate of 0.002 cm−3 cm−3 and concordance of 0.96 were found. This result is averaged over this period but fluctuated daily, and related to rainfall patterns across the target farm, which were not directly incorporated into the modelling framework. As expected, incorporating prior estimates of soil moisture into the modelling framework contributed to very accurate estimates of real time available soil moisture.
Conclusions
This research promotes the importance of iterative improvements to the soil moisture monitoring system, particularly in areas of sensor recalibration and spatio-temporal modelling. We stress the need for a longer-term view and plan for ongoing maintenance and improvement of such systems in the emerging digital farming ecosystem.
Implications
The results of this research will be useful for researchers and practitioners involved in the design and implementation of on-farm soil monitoring systems.
期刊介绍：
Soil Research (formerly known as Australian Journal of Soil Research) is an international journal that aims to rapidly publish high-quality, novel research about fundamental and applied aspects of soil science. As well as publishing in traditional aspects of soil biology, soil physics and soil chemistry across terrestrial ecosystems, the journal welcomes manuscripts dealing with wider interactions of soils with the environment.
Soil Research is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.
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