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Agriculture is under pressure to produce more food under increasingly variable climate conditions. Consequently, producers need management innovations that lead to improved physical and financial productivity. Currently, farm accounting technologies lack the sophistication to allow producers to analyse productivity of water. Furthermore water-related agricultural technology (“agtech”) systems do not readily link to accounting innovations. This study aims to establish a conceptual and practical framework for linking temporal, biophysical and management decision-making to accounting by develop a soil moisture and climate monitoring tool.

The paper adopts an exploratory mixed-methods approach to understand supply of and demand for water accounting and water-related agtech; and bundling these innovations with farm accounting to generate a stable tool with the ability to improve agricultural practices over time. Three phases of data collection are the focus here: first, a desk-based review of water accounting and water technology – including benchmarking of key design characteristics of these methods and key actor interviews to verify and identify trends, allowing for conceptual model development; second, a producer survey to test demand for the “bundled” conceptual model; third and finally, a participant-based case study in potato-farming that links the data from direct monitoring and remote sensing to farm accounts.

Design characteristics of water accounting and agtech innovations are bundled into an overall irrigation decision-making conceptual model based on in-depth review of available innovations and verification by key actors. Producer surveys suggest enough demand to pursue practical bundling of these innovations undertaken by developing an integrated accounting, soil moisture and climate monitoring tool on-farm. Productivity trends over two seasons of case study data demonstrate the pivotal role of accounting in leading to better technical irrigation decisions and improving water productivity.

The model can assist practitioners to gauge strengths and weaknesses of contemporary water accounting fads and fashions and potential for innovation bundling for improved water productivity. The practical tool demonstrates how on-farm irrigation decision-making can be supported by linking farm accounting systems and smart technology

This study aims to explore the need for improved data sources and models for COVID-19 and climate-related risk scenario analysis in primary production. The COVID-19 pandemic is impacting global markets for agricultural produce, making short-term forecasting highly uncertain. Meanwhile climate-related risk continues for agricultural businesses. Farmers and their accountants need to plan and make estimates about the potential effect of COVID-19 and ongoing climate risks to their natural and financial capital and so they need accounting-integrated biophysical and socio-economic data streams.

This research note reviews the current state of scenario-based planning for COVID-19 and other risks for Australian businesses generally, in addition to planning for farming businesses more specifically. Discussion of the authors’ current research in integrating accounting and farming data for water-related risk caused by climate and other challenges is presented as an analogous case.

Review and analogous case comparison demonstrate the need for farm data to be integrated more efficiently and effectively with accounting data for accurate scenario planning for COVID-19 and other risks, including those posed by climate.

While not strangers to the need for scenario analysis, given exposure to ever-increasing natural resource and climate variability, this research note highlights how primary producers and their accountants require increased accounting-integrated farm data and systems to make judgements, assumptions and estimates about the potential effect of COVID-19 and ongoing climate risks to their business.

The sustainability of the agricultural sector is of great relevance to all of us and so the development of tools and resources that can assist food producers in times of ongoing climate pressures and new crises, such as COVID-19, is important. Better understanding of such risks can help farm businesses develop effective strategies which minimise the potential loss of agricultural value resulting in improved flows of greater capital value for society.

Through application to the analogous case of water-related risk and decision-making, the research note demonstrates that linking of biophysical and accounting data streams will be essential for evidence-backed numbers included in scenario plans with enough legitimacy to be interrogated inside and outside of the business. The “best estimate of the directors” is no longer enough in challenging socio-economic and biophysical times ahead for primary producers.