997 resultados para Agricultural industries.


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We learn from the past that invasive species have caused tremendous damage to native species and serious disruption to agricultural industries. It is crucial for us to prevent this in the future. The first step of this process is to identify correctly an invasive species from native ones. Current identification methods, relying on mainly 2D images, can result in low accuracy and be time consuming. Such methods provide little help to a quarantine officer who has time constraints to response when on duty. To deal with this problem, we propose new solutions using 3D virtual models of insects. We explain how working with insects in the 3D domain can be much better than the 2D domain. We also describe how to create true-color 3D models of insects using an image-based 3D reconstruction method. This method is ideal for quarantine control and inspection tasks that involve the verification of a physical specimen against known invasive species. Finally we show that these insect models provide valuable material for other applications such as research, education, arts and entertainment. © 2013 IEEE.

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Specimen-based records of most of the plant pathogens that occur in Australia can be accessed through the Australian Plant Disease Database and the Australian Plant Pest Database. These databases and the herbaria that underpin them are important resources for resolving quarantine and trade issues as well as for the diagnosis of plant diseases. The importance of these collections and databases to Australia's agricultural industries is discussed.

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The amount and timing of early wet-season rainfall are important for the management of many agricultural industries in north Australia. With this in mind, a wet-season onset date is defined based on the accumulation of rainfall to a predefined threshold, starting from 1 September, for each square of a 1° gridded analysis of daily rainfall across the region. Consistent with earlier studies, the interannual variability of the onset dates is shown to be well related to the immediately preceding July-August Southern Oscillation index (SOI). Based on this relationship, a forecast method using logistic regression is developed to predict the probability that onset will occur later than the climatological mean date. This method is expanded to also predict the probabilities that onset will be later than any of a range of threshold dates around the climatological mean. When assessed using cross-validated hindcasts, the skill of the predictions exceeds that of climatological forecasts in the majority of locations in north Australia, especially in the Top End region, Cape York, and central Queensland. At times of strong anomalies in the July-August SOI, the forecasts are reliably emphatic. Furthermore, predictions using tropical Pacific sea surface temperatures (SSTs) as the predictor are also tested. While short-lead (July-August predictor) forecasts are more skillful using the SOI, long-lead (May-June predictor) forecasts are more skillful using Pacific SSTs, indicative of the longer-term memory present in the ocean.

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Biorefineries, producing fuels, green chemicals and bio-products, offer great potential for improving the profitability and sustainability of tropical agricultural industries. Biomass from tropical crops like sugarcane, sweet sorghum, palm and cassava offer great potential because of the high biomass growth potential under favourable climatic conditions. Biorefineries aim to convert waste residues through biochemical and enzymatic processes to low cost fermentable sugars which are a platform for value-adding. Through subsequent fermentation utilising microbial biotechnologies or chemical synthesis, the sugars can be converted to fuels including ethanol and butanol, oils, organic acids such as lactic and levulinic acid and polymer precursors. Other biorefinery products can include food and animal feeds, plastics, fibre products and resins. Pretreatment technologies are a key to unlocking this potential and new technologies are emerging. This paper will address the opportunities available for tropical biorefineries to contribute to the future profitability of tropical agricultural industries. The importance of pretreatment technologies will be discussed.

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Development of new agricultural industries in northern Australia is seen as a way to provide food security in the face of reduced water availability in existing regions in the south. This report aims to identify some of the possible economic consequences of developing a rice industry in the Burdekin region, while there is a reduction of output in the Riverina. Annual rice production in the Riverina peaked at 1.7 M tonnes, but the long-term outlook, given climate change impacts on that region and government water buy-backs, is more likely to be less than 800,000 tonnes. Growers are highly efficient water users by international standards, but the ability to offset an anticipated reduction in water availability through further efficiency gains is limited. In recent years growers in the Riverina have diversified their farms to a greater extent and secondary production systems include beef, sheep and wheat. Production in north Queensland is in its infancy, but a potentially suitable farming system has been developed by including rice within the sugarcane system without competition and in fact contributing to the production of sugar by increasing yields and controlling weeds. The economic outcomes are estimated a large scale, dynamic, computable general equilibrium (CGE) model of the world economy (Tasman Global), scaled down to regional level. CGE models mimic the workings of the economy through a system of interdependent behavioural and accounting equations which are linked to an input-output database. When an economic shock or change is applied to a model, each of the markets adjusts according to the set of behavioural parameters which are underpinned by economic theory. In this study the model is driven by reducing production in the Riverina in accordance with relationships found between water availability and the production of rice and replacement by other crops and by increasing ride production in the Burdekin. Three scenarios were considered: • Scenario 1: Rice is grown using the fallow period between the last ratoon crop of sugarcane and the new planting. In this scenario there is no competition between rice and sugarcane • Scenario 2: Rice displaces sugarcane production • Scenario 3: Rice is grown on additional land and does not compete with sugarcane. Two time periods were used, 2030 and 2070, which are the conventional time points to consider climate change impacts. Under scenario 1, real economic output declines in the Riverina by $45 million in 2030 and by $139 million in 2070. This is only partially offset by the increased real economic output in the Burdekin of $35 million and $131 million respectively.

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Development of new agricultural industries in northern Australia is often perceived as a solution to changes in water availability that have occurred within southern Australia as a result of changes to government policy in response to and exacerbated by climate change. This report examines the likely private, social and community costs and benefits associated with the establishment of a cotton industry in the Burdekin. The research undertaken covers three spatial scales by modelling the response of cotton and to climate change at the crop and farm scale and linking this to regional scale modelling of the economy. Modelling crop growth as either a standalone crop or as part of a farm enterprise provides the clearest picture of how yields and water use will be affected under climate change. The alternative to this is to undertake very costly trials in environmental chambers. For this reason it is critical that funding for model development especially for crops being crop in novel environments be seen as a high priority for climate change and adaptation studies. Crop level simulations not only provide information on how the crop responds to climate change, they also illustrate that that these responses are the result of complex interactions and cannot necessarily be derived from the climate information alone. These simulations showed that climate change would lead to decreased cotton yields in 2030 and 2050 without the affect of CO2 fertilisation. Without CO2 fertilisation, yields would be decreased by 3.2% and 17.8%. Including CO2 fertilisation increased yields initially by 5.9%, but these were reduced by 3.6% in 2050. This still represents a major offset and at least ameliorates the impact of climate change on yield. To cope with the decreased in-crop rainfall (4.5% by 2030 and 15.8% in 2050) and an initial increase in evapotranspiration of 2% in 2030 and

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沙产业是开发利用沙区地下、地面和地上的多种资源 ,创建沙地农业型和非农业型产业 ,形成产品系列生产 ,以获取持续规模的效益。制约沙产业发展的瓶颈因素是水。我国对沙区资源的开发利用已扩大到多个领域 ,沙区用材林基地建设、泥炭资源开发利用、热管技术应用、石油天然气开采等都初具规模。 2 1世纪将是沙产业崛起的世纪 ,发展沙产业前景广阔。

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Pathogenic microorganisms such as Bacillus cereus, Listeria Monocytogenes and Staphylococcus sp have caused serious diseases, and consequently contributed to considerable economic loss in the food and agricultural industries. Antibiotics have been practically used to treat these pathogens since penicillin G was discovered more than half a century ago. Many different types of antibiotics have been discovered or synthesized to control pathogenic microorganisms. Repetitive use and misuse of antibiotics by the agricultural and pharmaceutical industries have caused the emergence of multidrug-resistant microorganisms, even to the strongest antibiotics currently available; therefore, the rapid development of more effective antimicrobial compounds is required to keep pace with demand. Bacteria were isolated from marine water and sediment samples collected from various locations off the coast of Cochin and salt pans of Tuticorin using pour plate technique. One hundred and twelve isolates were obtained. Seventeen isolates exhibiting antimicrobial activity were segregated after primary screening. The secondary screening which was aimed at selection of bacteria that produce proteinaceous inhibitory compounds, helped to select five strains viz. BTFK101, BTHT8, BTKM4, BTEK16 and BTSB22. The five isolates inhibited the growth of six Gram positive test organisms viz. B. cereus, B. circulans, B. coagulans, B. pumilus, Staphylococcus aureus and Clostridium perfringens. After quantitative estimation of the bacteriocin production, the two strains BTFK101 and BTHT8 were selected for further study.

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Farm health and safety has focussed on strategies such as injury prevention, audits and fulfilling legislative responsibilities. We know farmer injuries mask deeper health issues such as higher rates of cancer, suicides, cardiovascular disease and stress. The relationship between occupational health and safety and farming family health has not been investigated by other researchers either nationally or internationally. The Sustainable Farm Families (SFF) project attempts to make this connection in order to address the unacceptable rates of premature death, higher morbidity and injury on Australian farms.

The SFF focuses on the human resource in the triple bottom line and is working with farmers, families, industry, and university to collaboratively address and improve the health and well being of farming families. Based on a model of extension that engages farming families as active learners where they commit to healthy living and safe working practices the SFF is proving to be an effective model for engaging communities in learning and change. Health education and information is delivered to farming families using a workshop format with participants reporting positive impacts on their farming business. The SFF project sits across generations and sexes and has a high level of support with the overwhelming majority of participants saying they would recommend the program to others.

This paper discusses the progress of the research outlining the design of the project, the delivery and extension processes used to engage 321 farming families to date. The paper presents key learning’s on intersectoral collaboration, engaging farmers and families in health and the future for this project extending into agricultural industries across the nation.

Three key learnings: (1) The increased health risks faced by farmers and their families need social and political attention. (2) Joint ownership and collaborative partnerships where all partners have a key role within the development and delivery of the project to their relevant representative groups enables resources to be shared and encourages greater in-kind support to augment funding received. (3) Farming families are keen to understand more about their health and farmers who participate in health education programs based around industry collaboration with high levels of individual participation will engage with health professionals and obtain an improved health status if programs are presented to them in personally engaging and relevant ways

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Australia is a large country with 60% of land used for agricultural production. Its interior is sparsely populated, with higher morbidity and mortality recorded in rural areas, particularly farmers, farm families, and agricultural workers. Rural health professionals in addressing health education gaps of farming groups have reported using behavioralist approaches. These approaches in isolation have been criticized as disempowering for participants who are identified as passive learners or 'empty vessels.' A major challenge in rural health practice is to develop more inclusive and innovative models in building improved health outcomes. The Sustainable Farm Families Train the Trainer (SFFTTT) model is a 5-day program developed by Western District Health Service designed to enhance practice among health professionals working with farm families in Australia. This innovative model of addressing farmer health asks health professionals to understand the context of the farm family and encourages them to value the experience and existing knowledge of the farmer, the family and the farm business. The SFFTTT program has engaged with health agencies, community, government, and industry groups across Australia and over 120 rural nurses have been trained since 2005. These trainers have successfully delivered programs to 1000 farm families, with high participant completion, positive evaluation, and improved health indicators. Rural professionals report changes in how they approach health education, clinical practice, and promotion with farm families and agricultural industries. This paper highlights the success of SFFTTT as an effective tool in enhancing primary health practice in rural and remote settings. The program is benefiting not only drought ravaged farmers but assisting rural nurses, health agencies, and health boards to engage with farm families at a level not identified previously. Furthermore, nurses and health professionals are now embracing a more 'farmer-centered model of care.'

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Introduction: Farm health and safety has historically focussed on strategies such as injury prevention, safety audits and fulfilling legislative responsibilities. However, farmer injuries mask deeper health issues including higher rates of cancer, suicides, cardiovascular disease and stress. The relationship between occupational health and safety and farm family health has not been fully investigated. The Sustainable Farm Families (SFF) project attempts to make this connection in order to address premature death, morbidity and injury on Australian farms. The SFF project illustrates how increasing health literacy through education and physical assessment can lead to improved health and knowledge outcomes for farm families.

Methods:
The SFF project focuses on the human resource in the triple bottom line and is working with farmers, families, industry and universities to collaboratively assess and promote improvement in the health and wellbeing of farm families. Based on a model of extension that engages farm families as active learners where they commit to healthy living and safe working practices, the SFF project is proving to be an effective model for engaging communities in learning and change. Health education and information is delivered to farm men and women aged 18 to 75 years using a workshop format. Pre- and post-knowledge surveys, annual physical assessments and focus group discussions form the methodological context for the research over a three-year intervention.

Results: This article discusses the progress of the research outlining the design of the SFF project, the delivery and extension processes used to engage 321 farm families from within a broadacre and dairy-farming family sample. The article presents key learnings on intersectoral collaboration, engaging farmers and families in health, and the future for this project extending into agricultural industries across the nation. Key results reveal that health issues do exist in farming families and are often underreported by family members. Health indicators were at a level where referral and intervention was required in over 60% of men and 70% of women in both broad acre and dairy industries. Farm men and women verbalised health concerns relating to access, support and control mechanisms of the health system. Participants also revealed how they put into practice their new knowledge and how this has influenced their health.

Conclusions:
The key learning is that farm men and women who are at high risk of premature morbidity and mortality will participate in health education and assessment programs based on industry collaboration with high levels of individual participation. This program provides evidence that farmers will engage with health professionals if programs are presented to them in personally engaging and relevant ways. The SFF program is a definite tool for interventional health promotion that supports attitudinal change to health and farming practices.

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The health and wellbeing of all Australians is pivotal for economic and social success of the nation. Current data reveals that the health status of people living in rural and remote populations is poorer than their metropolitan counterparts. However there is a lack of understanding of the specific health statistics of rural farming populations.

The Sustainable Farm Families (SFF) Future Directions program aims to fill this gap by providing ongoing evidence-based information and support to Australia’s agricultural industries, to gain insight into the health, wellbeing and safety of Australia’s rural farming populations.

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV