澳大利亚农业公司Elders宣布与SWAN Systems建立合作伙伴关系，SWAN Systems是一个基于水和养分管理的网络平台。此次合作扩大了Elders公司对技术的推动，以最大限度地提高农场效率。位于珀斯的SWAN Systems公司已经开发了与现有农场传感器集成的软件，这些传感器包括流量计、土壤湿度探测器和气象站。其目的是提供有关未来灌溉需求的准确信息，并与任何特定地点的独特特征相关。SWAN Systems的首席运营官兼创始人Ivor Gaylard解释说:“我们可以把所有的数据汇总在一起，帮助农民做出日常决策。优化水资源和营养成分的使用。这一切都是关于如何以环境可持续的方式，充分利用每一滴水和肥料。”
The agri-food sector is moving into an era of digitally enhanced farming, where data is generated during the various stages of agricultural production and all related operations. This data is collected, transferred, processed and analysed. The farmer remains at the heart of the collection, processing and management of agricultural data. Collaborative agri-business models, including agri-cooperatives, collective shared services and other agri-businesses play a key role in ensuring that datadriven strategies add value to the agri-food chain. They can also facilitate collective services, be helpful in negotiating fair contracts and facilitate the implementation of the contracts. Data has become valuable and many experts consider BIG DATA to be the next major driver for productivity gains in agriculture. However, data analytics involve much more than simply putting information into expert hands; they are about enhancing knowledge in close collaboration with data originators and generating benefits within the value chain. Digital farming represents an unprecedented opportunity to create value and business opportunities by applying data-driven solutions: „ To improve resource efficiency, productivity, environmental processes, animal health and welfare and provide tools to mitigate climate change „ To adapt business plans, respond to dynamic markets and consumer expectations „ To decrease administrative and bureaucratic costs and enable sciencebased policies To provide better and more prosperous living conditions for rural communities Digital farming makes the collection and exchange of data possible at an unprecedented level. In order to tap into all of the potential benefits, data sharing between different stakeholders must be conducted under fair and transparent rules. The increasing exchange of data poses a major challenge for the EU agri-food sector. It raises questions about privacy, data protection, intellectual property, data attribution (sometimes referred to as ownership), relationships of trust/ power, storage, conservation, usability and security. The nature of agricultural data is highly specific but very diverse. The collection of agricultural data includes, among others, livestock and fish data, land and agronomic data, climate data, machine data, financial data and compliance data. Some of this data may be considered to be personal data, sensitive data or be seen as confidential information from the point of view of many agro-businesses providing services/ equipment for farm activities. Agricultural data is therefore of economic importance for both farmers and the entire value chain and it is essential that the necessary safeguards are built in. Theoretically, usage rights can be granted to an infinite number of parties, which reflects the non-physical nature of data. Due to this nonphysical nature, it is difficult to monitor who is authorised to share data and what data is shared. Unintentional and uninformed sharing of data can disadvantage the data originators and the value chain (e.g. misuse of sensitive data, unfair trading practices, breach of the legitimate IP right). This makes data originators, for instance, farmers, breeding companies, contractors, etc., cautious about sharing their data. There is a common political view that assumes that increasing data sharing is only possible by making it mandatory, due to the originators’ unwillingness to share data. The opposite is true: farmers and agri-businesses are more than willing to share data with each other and engage in a more open data mind-set. However, they will only do so if the potential benefits and risks are made clear and when they can trust that these are settled in a proper and fair way through contractual agreements. It is therefore crucial to define key principles on data rights, be they proprietary or similar rights, access rights and/or data re-use rights. Transparency and responsibility are key to gaining trust. If such principles are established and followed, then it will be possible to construct business models that benefit all stakeholders involved. Given that technology and digital tools will continue to evolve, it is fundamental for all parties involved to engage in dialogue on the opportunities and challenges of data sharing. This code predominantly focusses on nonpersonal data. Nevertheless, if data is linked to a person who is identifiable through a contract, land register, coordinates, etc., it is considered as personal data and falls under the General Data Protection Regulation. We hope that this explanation will advise stakeholders on the main principles related to the rights and obligations of using and sharing data. This will ensure that stakeholders are confident that data is secure and handled in an appropriate manner as well as facilitate data-driven business models. Compliance with the code of conduct is voluntary. The signatories therefore encourage all parties involved in the agri-food chain to conform according to these jointly agreed principles.
Multi-use biosensors are disclosed that include enzymes coupled to nanobeads; the multi-use biosensors are used to detect analytes in fluidic biological samples, and the biosensors also maintain their enzyme activity after many uses. Multi-sensor arrays are disclosed that include multiple biosensors. Also disclosed are methods of producing and using these devices.
FIELD : ionometry. SUBSTANCE : invention relates to ionometry and can be used in environmental, medical and industrial control of phosphate content in aquatic ecosystems, soil extracts, biological fluids and solutions of medical preparations. Disclosed is membrane of ion-selective electrode for determination of phosphate ions, which contains (wt%) : 4.5 % of an electroactive component, which is an organotin compound of general formula R2SnX2, where R is octyl or 2-ethylhexyl, and X is chloride, bromide, iodide or hydrophosphate; 60.0 % of a plasticiser, which is ortho-nitrophenyloctyl ether; 35.0 % polyvinyl chloride; 0.5 % of a lipophilic additive which is potassium tetrakis(4-chlorophenyl)borate. EFFECT : invention improves electroanalytical characteristics, such as selectivity, angular inclination of calibration curve, reproducibility and stability of electrode potential. 1 cl, 1 dwg, 2 tbl, 3 ex