Literatura académica sobre el tema "Australian cotton industry"

Abstract Cotton in Australia has always been entwined with America and England. From the initial stimulus of the American War of Independence to the boost created by the boll weevil outbreak in the 1920s, the fortunes of Australian cotton producers have been shaped by American history as much as their own nation's political and economic imperatives. Scientists and farmers relied on American experience, importing seed, knowledge, personnel, and technology. The global market reflected fluctuations in the US cotton industry and the demands of English cotton mills. Australia relied on the imports of the English cotton mills and an injection of funds by the British Cotton Growing Association (BCGA) in the 1920s to boost industry. While Australian politicians promoted cotton as a domestic economic and demographic stimulant, fulfilment of these nation-state objectives was deeply entangled with, and dependent on, those of America and England.

SUMMARYThe majority of cotton produced in Australia is exported. The Australian cotton industry must maintain product quality in order to remain globally competitive. In addition, carbon-conscious consumers need reassurance that the system used to grow the product is environmentally sustainable. The aim of the present study was to estimate greenhouse gas (GHG) emissions due to various farm inputs in three common types of cotton farming systems on the Darling Downs region, southern Queensland. Analysis revealed that GHG emissions for dryland solid-plant and dryland double-skip cotton farming systems are similar, but emissions are much higher for irrigated solid-plant cotton farming (1367, 1274 and 4841 kg CO2e/ha, respectively). However, if comparisons of GHG emissions are based on yield (per tonne), the positions of dryland double-skip farming and dryland solid-plant farming are reversed, but the position of irrigated cotton farming still remains as the highest GHG emitter. If the cotton industry comes under the Australian Government Carbon Pollution Reduction Scheme (CPRS) without any subsidies and preconditions, and with a carbon price of A$25/t CO2e, the costs borne by each system would be A$66.8/t for the irrigated cotton industry, A$39.7/t for the dryland solid-plant cotton industry and A$43.6/t for the dryland double-skip cotton industry. This suggests that irrigated cotton would be more profitable in financial terms but with heavy environmental sustainability costs.

Verticillium dahliae, the causal agent of Verticillium wilt, is a soil-borne ascomycete that infects numerous agriculturally important crops globally, including cotton. As a billion-dollar industry, cotton is economically important to Australia and the management of disease such as Verticillium wilt is key for the success of the industry. Internationally, defoliating V. dahliae isolates belonging to Vegetative Compatibility Group (VCG) 1A cause severe damage to cotton, while non-defoliating VCG2A isolates result in significantly less disease. However, in Australia, VCG2A is causing more severe damage to crops in the field than the defoliating VCG1A. This study aimed to replicate field observations in controlled greenhouse conditions. We examined and compared disease symptoms on a range of Australian commercial cotton varieties when inoculated with different V. dahliae VCGs. Seedlings were root dipped in conidial suspensions and assessed over seven weeks. The final disease score, disease over time and root length were analysed. Plant mortality resulted from both V. dahliae VCG1A and VCG2A isolates across all cotton varieties used, confirming that there are virulent VCG2A isolates present in Australia. To our knowledge, although virulent on other plant hosts, V. dahliae VCG2A has not previously been reported to be highly virulent in cotton. We infer that virulence cannot be defined solely by VCG in Australian V. dahliae isolates causing disease in cotton.

Fusarium wilt is one of those uncommon phenomena where something so small does so much and motivates so many. It is a virulent, new fungal pathogen which is afflicting a vibrant modern industry in the Australian rural landscape. In this review, we examine the appearance of Fusarium wilt of cotton and the substantial response by the researchers and farming communities behind Australia?s third biggest rural export commodity.

Context The Australian cotton industry has committed to (1) understanding the biodiversity value of remnant native vegetation on cotton farms, (2) funding independent, evidence-based assessments of the industry’s sustainability and environmental performance, and (3) investing in research that reports against recognised sustainability indicators. Aims The present study reports the results of an industry-wide survey to benchmark bird diversity in native vegetation on cotton farms spanning a 1260-km north–south subcontinental gradient from Central Queensland (Qld) to Southern New South Wales (NSW). Methods Between September and November 2014, birds were sampled twice on separate days in 2-ha quadrats (20 min per census) in eight remnant vegetation types as well as in native revegetation at 197 sites on 60 cotton farms spread across the principal cotton-growing zones (Central Qld, Border Rivers, Macquarie and Southern NSW) in inland eastern Australia. Key results We recorded 185 bird species in remnant and planted native vegetation on cotton farms. Species richness of bird communities declined from north to south. Bird community composition was similar in the three southern zones, differing somewhat in the north. The most frequent species were large (>60 g), readily detected landbirds common in agricultural districts, but 26 of the 53 extant species of conservation concern in the study region were also recorded, including 16 species of declining woodland birds. Bird composition, abundance, richness and diversity differed among the nine native vegetation types, with maximal and minimal bird abundance and diversity metrics recorded in river red gum-dominated riparian vegetation and grassland respectively. Conclusions Each remnant vegetation community had a generally distinct bird assemblage, indicating that all vegetation types contribute to regional biodiversity in cotton-growing zones in inland eastern Australia. Appropriate on-farm management of all remnant and planted native vegetation will assist regional biodiversity conservation. Implications For the Australian cotton industry to meet its stated environmental responsibilities, growers should be encouraged to prioritise the conservation management of remnant, riparian and planted native vegetation on cotton farms and the monitoring of bird species as an indicator of regional biodiversity response.

Changes in the sheep industry over the last 20 years represent a trend that is unlikely to be reversed. The farm gate value of wool production has decreased from over $6 billion to ~$2.5 billion and the value of sheep meat has increased from $0.5 to $2.2 billion. Wool and meat are now on an equal footing in terms of the economic value of each sector of the industry. Future profitability of both wool and sheep meat production depends on achieving a high rate of productivity gain and improving quality attributes valued by consumers. Wool and sheep meat cannot compete on price or volume with synthetics and cotton in the textile market or with chicken and pork in the meat market. Differentiation based on quality and consistency needs to be measurable and clearly understood by consumers. The combination of genetic selection and good management can deliver improved productivity gain. Skills development and training will be essential for the industry to fully utilise available knowledge and new technologies.

For nearly two decades (1994–2012) a series of three consecutive Cooperative Research Centres (CRC) dealing with cotton production provided the impetus and financial support for a substantial body of soil science research in eastern and northern Australia. Focusing on the most commonly utilised soil for irrigated crop production, the Vertosol, CRC-affiliated soil researchers undertook detailed soil inventories of cotton-growing valleys in New South Wales, and tackled a range of applied soil research questions that faced the entire Australian cotton industry. Across the broad categories of soil mapping and characterisation, soil physical condition, salinity and sodicity, soil chemical fertility, and soil carbon and biota, some 120 CRC-affiliated research papers were published in peer-reviewed journals during the years of the CRC. Findings from this body of research were fed back to the industry through conferences, extension workshops and materials, and to a lesser extent, the peer-reviewed publications. In certain cases, underpinning basic research was carried out concurrently with the more applied research, meaning that the cotton CRC were effectively supporting advances in the discipline of soil science, as well as in sustainable cotton production. A feature of the soil research portfolio over the span of the three cotton CRC was that priorities shifted according to the interplay of three factors; the natural maturation of research topics and the concomitant evolution of cotton farming systems, the rising importance of environmental implications of agricultural land use, and the emergence of carbon as a national research priority. Furthermore, the commitment of the CRC to education resulted in the involvement of undergraduate and postgraduate university students in all aspects of the soil research effort. A legacy of the triumvirate of cotton CRC is a wide-ranging body of both applied and basic knowledge regarding the physical, chemical and biological attributes of Australian Vertosols used for irrigated agriculture.

AbstractCreontiades dilutus (green mirid) and C. pacificus (brown mirid) are major hemipteran pests of transgenic (Bt) cotton in Australia. Current integrated pest management (IPM) guidelines for mirids in Australian cotton, based on economic thresholds and sampling recommendations, were developed and disseminated to industry at the start of the 2005–06 growing season and have remained largely unchanged since then. However, adoption of mirid IPM guidelines by industry has been highly variable and generally well below expectation. Annual surveys of crop protection practices across the Australian cotton industry, from 2010 to 2017, indicate that a third of all mirid sprays are applied below the recommended thresholds each year. More than half of all survey respondents in the 2017 survey indicated lack of confidence in the mirid thresholds due to highly variable and disproportionate damage, a phenomenon best described as the ‘mirid enigma’. A critical review of RD&E outputs since 1998 shows that potential contributors to the mirid enigma include but are not limited to biological, ecological and methodological factors. Mirid feeding damage is likely to vary with developmental stage, gender and reproductive status. Ecological factors including trophic effects and multiple host plant usage are potential modifiers of mirid feeding damage. Methodological and technological constraints and shortcomings are evident in the threshold research done to date. Inadequate commercial sampling that results in unreliable estimates of pest density in the crop is a major contributor to the mirid enigma. Failure to account for the complexity of factors that can influence the nature and severity of mirid damage to cotton often results in fruit loss due to non-mirid related factors being incorrectly attributed to mirids. An alternative approach to mirid management based on modelling the dynamics of net fruit load (production–loss) proposed over 15 years ago is discussed.

This article reviews research coordinated by the Australian Cotton Cooperative Research Centre (CRC) that investigated production issues for irrigated cotton at five targeted sites in tropical northern Australia, north of 21°S from Broome in Western Australia to the Burdekin in Queensland. The biotic and abiotic issues for cotton production were investigated with the aim of defining the potential limitations and, where appropriate, building a sustainable technical foundation for a future industry if it were to follow. Key lessons from the Cotton CRC research effort were: (1) limitations thought to be associated with cotton production in northern Australia can be overcome by developing a deep understanding of biotic and environmental constraints, then tailoring and validating production practices; and (2) transplanting of southern farming practices without consideration of local pest, soil and climatic factors is unlikely to succeed. Two grower guides were published which synthesised the research for new growers into a rational blueprint for sustainable cotton production in each region. In addition to crop production and environmental impact issues, the project identified the following as key elements needed to establish new cropping regions in tropical Australia: rigorous quantification of suitable land and sustainable water yields; support from governments; a long-term funding model for locally based research; the inclusion of traditional owners; and development of human capacity.

Australian farmers are supplementing traditional practices with innovative strategies in an effort to survive recent economic, environmental, and social crises in the rural sector. These innovative strategies include moving towards a technology-based farm management style. A review of past literature determines that, despite a growing awareness of the usefulness of computers for farm management, there is concern over the limited demand for computer-based agricultural decision support systems (DSS). Recent literature indicates that women are the dominant users of computers on family farms yet are hesitant to use computers for decision support, and it is also unclear what decision-making roles women assume on family farms. While past research has investigated the roles of women in the Australian rural sector, there is a dearth of research into the interaction of women cotton growers with computers. Therefore, this dissertation is an ontological study and aims to contribute to scholarly knowledge in the research domain of Australian women cotton growers, agricultural DSS, and cotton farm management. This dissertation belongs in the Information Systems (IS) stream and describes an interpretive single case study which explores the lives of Australian women cotton growers on family farms and the association of an agricultural DSS with their farm management roles. Data collection was predominantly through semi-structured interviews with women cotton growers and cotton industry professionals such as DSS developers, rural extension officers, researchers and educators, rural experimental scientists, and agronomists and consultants, all of whom advise cotton growers. The study was informed by multiple sociological theories with opposing paradigmatic assumptions: Giddens' (1984) structuration theory as a metatheory to explore the recursiveness of farm life and technology usage; Rogers' (1995) diffusion of innovations theory with a functionalist approach to objectively examine the features of the software and user, as well as the processes of technology adoption; and Connell's (2002) theory of gender relations with its radical humanist perspective to subjectively investigate the relationships between farm partners through critical enquiry. The study was enriched further by drawing on other writings of these authors (Connell 1987; Giddens 2001; Rogers 2003) as well as complementary theories by authors (Orlikowski 1992; Orlikowski 2000; Trauth 2002; Vanclay & Lawrence 1995). These theories in combination have not been used before, which is a theoretical contribution of the study. The agricultural DSS for the study was CottonLOGIC, an advanced farm management tool to aid the management of cotton production. It was developed in the late 1990s by the CSIRO and the Australian Cotton Cooperative Research Centre (CRC), with support from the Cotton Research and Development Corporation (CRDC). CottonLOGIC is a software package of decision support and record-keeping modules to assist cotton growers and their advisors in the management of cotton pests, soil nutrition, and farm operations. It enables the recording and reporting of crop inputs and yields, insect populations (heliothis, tipworm, mirids and so on), weather data, and field operations such as fertiliser and pesticide applications, as well as the running of insect density prediction (heliothis and mites) and soil nutrition models. The study found that innovative practices and sustainable solutions are an imperative in cotton farm management for generating an improved triple bottom line of economic, environmental and social outcomes. CottonLOGIC is an industry benchmark for supporting these values through the incorporation of Best Management Practices (BMP) and Integrated Pest Management (IPM) principles, although there were indications that the software is in need of restructuring as could be expected of software over five years old. The evidence from the study was that women growers are participants in strategic farm decisions but less so in operational decisions, partly due to their lack of relevant agronomic knowledge. This hindered their use of CottonLOGIC, despite creative attempts to modify it. The study endorsed the existence of gender differences and inequalities in rural Australia. Nevertheless, the study also found that the women are valued for their roles as business partners in the multidisciplinary nature of farm management. All the same, there was evidence that greater collaboration and cooperation by farm partners and advisors would improve business outcomes. On the whole, however, women cotton growers are not passive agents but take responsibility for their own futures. In particular, DSS tools such as CottonLOGIC are instrumental in enabling women cotton growers to adapt to, challenge, and influence farm management practices in the family farm enterprise, just as CottonLOGIC is itself shaped and reshaped. Hence, a practical contribution of this study is to provide non-prescriptive guidelines for the improved adoption of agricultural DSS, particularly by rural women, as well as increasing awareness of the worth of their roles as family farm business partners.

Australian farmers are supplementing traditional practices with innovative strategies in an effort to survive recent economic, environmental, and social crises in the rural sector. These innovative strategies include moving towards a technology-based farm management style. A review of past literature determines that, despite a growing awareness of the usefulness of computers for farm management, there is concern over the limited demand for computer-based agricultural decision support systems (DSS). Recent literature indicates that women are the dominant users of computers on family farms yet are hesitant to use computers for decision support, and it is also unclear what decision-making roles women assume on family farms. While past research has investigated the roles of women in the Australian rural sector, there is a dearth of research into the interaction of women cotton growers with computers. Therefore, this dissertation is an ontological study and aims to contribute to scholarly knowledge in the research domain of Australian women cotton growers, agricultural DSS, and cotton farm management. This dissertation belongs in the Information Systems (IS) stream and describes an interpretive single case study which explores the lives of Australian women cotton growers on family farms and the association of an agricultural DSS with their farm management roles. Data collection was predominantly through semi-structured interviews with women cotton growers and cotton industry professionals such as DSS developers, rural extension officers, researchers and educators, rural experimental scientists, and agronomists and consultants, all of whom advise cotton growers. The study was informed by multiple sociological theories with opposing paradigmatic assumptions: Giddens' (1984) structuration theory as a metatheory to explore the recursiveness of farm life and technology usage; Rogers' (1995) diffusion of innovations theory with a functionalist approach to objectively examine the features of the software and user, as well as the processes of technology adoption; and Connell's (2002) theory of gender relations with its radical humanist perspective to subjectively investigate the relationships between farm partners through critical enquiry. The study was enriched further by drawing on other writings of these authors (Connell 1987; Giddens 2001; Rogers 2003) as well as complementary theories by authors (Orlikowski 1992; Orlikowski 2000; Trauth 2002; Vanclay & Lawrence 1995). These theories in combination have not been used before, which is a theoretical contribution of the study. The agricultural DSS for the study was CottonLOGIC, an advanced farm management tool to aid the management of cotton production. It was developed in the late 1990s by the CSIRO and the Australian Cotton Cooperative Research Centre (CRC), with support from the Cotton Research and Development Corporation (CRDC). CottonLOGIC is a software package of decision support and record-keeping modules to assist cotton growers and their advisors in the management of cotton pests, soil nutrition, and farm operations. It enables the recording and reporting of crop inputs and yields, insect populations (heliothis, tipworm, mirids and so on), weather data, and field operations such as fertiliser and pesticide applications, as well as the running of insect density prediction (heliothis and mites) and soil nutrition models. The study found that innovative practices and sustainable solutions are an imperative in cotton farm management for generating an improved triple bottom line of economic, environmental and social outcomes. CottonLOGIC is an industry benchmark for supporting these values through the incorporation of Best Management Practices (BMP) and Integrated Pest Management (IPM) principles, although there were indications that the software is in need of restructuring as could be expected of software over five years old. The evidence from the study was that women growers are participants in strategic farm decisions but less so in operational decisions, partly due to their lack of relevant agronomic knowledge. This hindered their use of CottonLOGIC, despite creative attempts to modify it. The study endorsed the existence of gender differences and inequalities in rural Australia. Nevertheless, the study also found that the women are valued for their roles as business partners in the multidisciplinary nature of farm management. All the same, there was evidence that greater collaboration and cooperation by farm partners and advisors would improve business outcomes. On the whole, however, women cotton growers are not passive agents but take responsibility for their own futures. In particular, DSS tools such as CottonLOGIC are instrumental in enabling women cotton growers to adapt to, challenge, and influence farm management practices in the family farm enterprise, just as CottonLOGIC is itself shaped and reshaped. Hence, a practical contribution of this study is to provide non-prescriptive guidelines for the improved adoption of agricultural DSS, particularly by rural women, as well as increasing awareness of the worth of their roles as family farm business partners.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
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The Australian cotton industry is an archetypal example of precision agriculture in action, having achieved significant efficiency gains in yield (kg lint ha-1) and water use (kg lint ML-1) over the past 50 years through sustained research and development investment. Unfortunately, nitrogen fertiliser use efficiency (NFUE) has not experienced the same gains over this period, and has instead declined. Australian irrigated cotton production requires high nitrogen (N) inputs to maintain its high yields. N application rates (kg N ha-1) have increased over recent decades due to a range of factors, including low fertiliser costs and grower risk appetites. Average yields have also increased over this period; however, they have not been proportional to the rise in N applications, resulting in steadily declining NFUE. While significant research describing N dynamics in Australian cotton systems already exists, there remain many research gaps to be filled. This thesis aims to address four research gaps to provide additional management levers for the Australian cotton industry to improve NFUE. The four topics explored herein are: (1) the effectiveness of aqueous N application (fertigation or water-run); (2) the mechanisms driving surface runoff N losses in flood irrigation; (3) the reaction rates and residence times of aqueous N; and (4) the degree of plant access to different soil N molecules. A series of field, laboratory, and glasshouse experiments were used to address these questions. Three field experiments measuring fertigation application efficacies were conducted on private farms in the Riverina, New South Wales (NSW) over the 2016-17 summer season. Another field experiment was performed at the Australian Cotton Research Institute (ACRI) in Narrabri, NSW over the 2017-18 season, measuring N runoff variations in alternate furrow irrigation configurations. Two laboratory experiments were performed at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain site in Canberra, Australian Capital Territory, measuring the reaction rates and residence times of dissolved urea in soil-water systems. Finally, a glasshouse experiment was performed at CSIRO Black Mountain in January 2019, assessing the N uptake capabilities and preferences of three cotton (Gossypium hirsutum L.) varieties using 15N 13C stable isotope analysis. Chapter 2 aims to answer the question: "How effective are current Australian irrigated cotton fertigation practices at delivering consistent N to crops, and what management levers can be identified to improve outcomes?". Chapter 3 aims to answer the question: "How does N surface runoff vary spatially and temporally at sub-field and intra-irrigation scales respectively, and can this high resolution be used to identify specific mechanistic drivers of N runoff?". Chapter 4 aims to answer the question: "What is the residence time of dissolved N in irrigation water, and how does it vary across the farm environment?". Chapter 5 aims to answer the question: "Which soil N species can commercial cotton (G. hirsutum) directly take up, and what preferences does it exhibit when given a choice?". Improving NFUE represents a triple bottom line opportunity for the Australian cotton industry. Economically, it will save growers the cost of wasted fertiliser, and reduce yield from over-application. Environmentally, it will reduce N2O greenhouse gas emissions, increase soil carbon stocks, and reduce N deep drainage. And socially, it can help to grow Australian cotton's reputation as the most resource efficient in the world, and build its public profile and brand recognition. This thesis aims to improve precision agricultural practices and environmental performance for the Australian cotton industry by providing new information and management tools to increase NFUE.

Agriculture in Australia has had a lively history. The first European settlers in 1788 brought agricultural technologies with them from their homelands, influencing early practices in Australia. Wool production dominated the 19th century, while dairying grew rapidly during the first half of the 20th century. Despite having one of the driest landscapes in the world, Australia has been successful in adapting agricultural practices to the land, and these innovations in farming are explained in this well-researched volume. Focusing on the technologies that the farmers and graziers actually used, this book follows the history of each of the major commodities or groups of commodities to the end of the 20th century: grain crops, sheep and wool, beef and dairy, working bullocks and horses, sugar, cotton, fruit and vegetables, and grapes and wine. Major issues facing the various agricultural enterprises as they enter the 21st century are also discussed. Written in a readable style to suit students of history, social sciences and agriculture, Australian Agriculture will also appeal to professionals in the industry and those with a general interest in Australian sociology and history.

Adapting Agriculture to Climate Change is a fundamental resource for primary industry professionals, land managers, policy makers, researchers and students involved in preparing Australia’s primary industries for the challenges and opportunities of climate change. More than 30 authors have contributed to this book, which moves beyond describing the causes and consequences of climate change to providing options for people to work towards adaptation action. Climate change implications and adaptation options are given for the key Australian primary industries of horticulture, forestry, grains, rice, sugarcane, cotton, viticulture, broadacre grazing, intensive livestock industries, marine fisheries, and aquaculture and water resources. Case studies demonstrate the options for each industry. Adapting Agriculture to Climate Change summarises updated climate change scenarios for Australia with the latest climate science. It includes chapters on socio-economic and institutional considerations for adapting to climate change, greenhouse gas emissions sources and sinks, as well as risks and priorities for the future.

This section consists of six essays that explore local port issues and the effect of the wave of globalisation taking place in the port industry during the nineteenth and early-twentieth centuries. The case studies examine the following topics: the international scope of Bordeaux port in relation to the economic cycles of the nineteenth and twentieth centuries; the Lancashire Cotton Lobby and the making of the Manchester Ship Canal from 1893 to the Interwar Period; Mormugao Port and the gateway to Goa; the competition between the ports of Antwerp and Rotterdam; the environmental impact of ports from an Australian perspective; and a survey of the operations of the port of Kaohsiung.

This paper presents findings of a recent study which explores rural women’s use of an agricultural decision support system, CottonLOGIC, within the Australian cotton industry. Meta-analysis is applied through the theoretical framework of structuration theory while diffusion theory is used for lower level analysis. The concept of communication is applicable to both theories. The significance of CottonLOGIC as a communication medium for technology transfer of industry research to cotton farms is evaluated in this paper. The findings suggest that CottonLOGIC is a recognised means of information exchange but even more valuable is the cooperation of stakeholders to influence effective reconstruction of farm management practices and technology usage.

This paper is based on an ongoing study that looks at farm management practices by Australian women cotton growers using farm management software, most particularly an agricultural decision support system, CottonLOGIC. The study is informed through a theoretical framework of structuration theory as a metatheory for probing the recursiveness of farm management and technology usage, and diffusion of innovations theory as a lower-level theory for analysing software adoption characteristics. Empirical research indicates that effective information exchange flows from homophilous communication. In this paper, the principles of homophily and heterophily in communication networks were initially drawn from diffusion theory. The findings suggest that despite apparent gender disparities, the presence of empathy and shared goals between farming partners overrides ‘gender heterophily’ to become gender homophily. Therefore cotton growers are informed of scientific research through homophilous communication, influencing the construction and reconstruction of innovative software usage and existing farm management practices.

As global agricultural production methods and supply chains have become more digitised, farmers around the world are adopting digital AgTech such as drones, Internet of Things (IoT), remote sensors, blockchain, and satellite imagery to inform their on-farm decision-making. While early adopters and technology advocates globally are spruiking and realising the benefits of digital AgTech, many Australian farmers are reluctant or unable to participate fully in the digital economy. This is an important issue, as the Australian Government has said that digital farming is essential to meeting its target of agriculture being a $100billion industry by 2030. Most studies of AgTech adoption focus on individual-level barriers, yielding well-documented issues such as access to digital connectivity, availability of AgTech suppliers, non-use of ICTs, and cost-benefit for farmers. In contrast, our project took an ‘ecosystems’ approach to study cotton farmers in the Darling Downs region in Queensland, Australia who are installing water sensors, satellite imagery, and IoT plant probes to generate data to be aggregated on a dashboard to inform decision-making. We asked our farmers to map their local ecosystem, and then set up interviewing different stakeholders (such technology providers, agronomists, and suppliers) to understand how community-level orientations to digital agriculture enabled and constrained on-farm adoption. We identified human factors of digital AgTech adoption at the macro, regional and farm levels, with a pronounced ‘data divide’ between farm and community level stakeholders within the ecosystem. This ‘data divide’ is characterised by a capability gap between the provision of the devices and software that generate data by technology companies, and the ability of farmers to manage, implement, use, and maintain them effectively and independently. In the Condamine Plains project, farmers were willing and determined to learn new, advanced digital and data literacy skills. Other farmers in different circumstances may not see value in such an undertaking or have the necessary support to take full advantage of the technologies once they are implemented. Moreover, there did not seem to be a willingness or capacity in the rest of the ecosystem to fill this gap. The work raises questions about the type and level of new, digital expertise farmers need to attain in the transition to digital farming, and what interventions are necessary to address the significant barriers to adoption and effective use that remain in rural communities. By holistically considering how macro- and micro-level factors may be combined with community-level influences, this study provides a more complete and holistic account of the contextualised factors that drive or undermine digital AgTech adoption on farms in rural communities. This report provides insights and evidence to inform strategies for rural ecosystems to transition farms to meet the requirements and opportunities of Agriculture 4.0 in Australia and abroad.