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[前沿资讯] New research accurately predicts Australian wheat yield months before harvest 进入全文

EurekAlert

Topping the list of Australia's major crops, wheat is grown on more than half the country's cropland and is a key export commodity. With so much riding on wheat, accurate yield forecasting is necessary to predict regional and global food security and commodity markets. A new study published in Agricultural and Forest Meteorology shows machine-learning methods can accurately predict wheat yield for the country two months before the crop matures. "We tested various machine-learning approaches and integrated large-scale climate and satellite data to come up with a reliable and accurate prediction of wheat production for the whole of Australia," says Kaiyu Guan, assistant professor in the Department of Natural Resources and Environmental Sciences at the University of Illinois, Blue Waters professor at the National Center for Supercomputing Applications, and principal investigator on the study. "The incredible team of international collaborators contributing to this study has significantly advanced our ability to predict wheat yield for Australia."

[学术文献] Contract design in agriculture supply chains with random yield 进入全文

European Journal of Operational Research

In an agricultural setting it is natural to consider yield risk in the context of a three level supply chain: with a small number of suppliers, large numbers of growers, and a small number of buyers. In the cereal growing case that is our focus, there is a supplier of fertiliser, a potentially large number of growers of cereal crops and a buyer, who purchases grain from the growers. The yield depends both on the input level of fertiliser and also on random weather-related factors. We study the impact of a new type of contract structure in which the grower purchases inputs at a discount, but agrees to a reduced price for the crop. The buyer makes a payment to the supplier to compensate for the discount offered. We show how this can coordinate the supply chain and demonstrate the potential advantages of this contract form when producers are risk averse. We look in detail at the implications of the use of these contracts by Australian wheat growers using data generated by APSIM, a growth simulation tool, to understand the connection between yields, fertiliser use and the weather. By using APSIM we can estimate the distribution of yields implied by the grower’s decision on fertiliser application and hence estimate optimal fertiliser use for risk averse growers.

[科技报告] Data Management Plan for the U.S. Geological Survey Washington Water Science Center 进入全文

美国地质调查局(USGS)

美国地质调查局(USGS)水领域的主要任务是收集、了解并传播国家水资源管理所需的可靠、公正、及时的信息,包括水流量、地下水、水质、用水量和水资源可用性的相关数据。在整个数据生命周期中数据管理对于履行使命和维护USGS作为国家主要地球科学信息机构生产高质量数据的声誉是必要的。 本报告描述了USGS华盛顿水科学中心的数据管理程序,包括员工职责和工作流程。

[学术文献] Quality control of the agricultural products supply chain based on “Internet +” 进入全文

Information Processing in Agriculture

This paper describes a quality-control supply-chain model using the “Internet +” paradigm. The model is based on principal-agent theory, which considers the reputational loss due to inferior products and external responsibility identification. After model analysis and simulation verification, the results show that the optimal quality-control level and market price of agricultural products can be achieved in the agricultural supply chain based on “Internet +” if and only if the information platform’s claim to the agricultural producer is less than the agricultural producer’s claim to the delivery service provider. Also, a rise in consumers’ claims or the agricultural producer’s reputational loss due to inferior products will motivate the quality control of an agricultural procedure. Meanwhile, the market price of agricultural products will also increase with enhanced quality control procedures. The quality-control level of a delivery service provider is inversely proportional to the information platform or its own reputational loss. Thus, the key to promoting quality control along the supply chain is to strengthen the responsibility confirmation of an inferior product between the agricultural producer and the delivery service provider.

[前沿资讯] 为“一带一路”沿线国家提供数字农业“中关村方案” 进入全文

科学网

日前,“一带一路”数字农业论坛暨中关村生态乡村创新服务联盟两周年庆典在京举办。论坛上,中关村生态乡村创新服务联盟“一带一路”专委会宣布成立。据介绍,该专委会以推动数字农业发展和农产品生态圈服务平台建设为目标,坚持国际化、专业化、市场化运作,将联合中关村和“一带一路”有关国家致力于数字农业发展的企业、行业协会、专业服务机构、投融资机构、研究机构、产业园区等组织,共建数字农业发展生态,推进国际农业开展务实合作。专委会将通过“中关村技术+互联网理念+金融服务+优客农场”模式整合资源,做“一带一路”沿线国家深化数字化农业国际合作的服务者,做数字农业中关村标准沿线落地生根的推动者,做中关村生态乡村建设技术领域质量型标准创制引领者。未来,专委会将发挥中关村国家自主创新示范区品牌优势和辐射带动作用,在“一带一路”相关国家重点城市建设一批特色鲜明的科技园区,汇聚国际优秀人才,推动中关村数字农业技术落地应用。

[前沿资讯] Agroclimatic information helps prepare for El Niño in Central America 进入全文

国际农业研究磋商组织(CGIAR)

Reduction in production levels due to the scarcity of water for crops, decrease in herds due to inadequate food and water for livestock and increased risk of forest fires due to drought, are some of the consequences that come with the El Niño phenomenon for the agricultural sector of Guatemala, due to the reduction of water levels.Following similar problems of climate variability throughout the region, the International Center for Tropical Agriculture in Central America (CIAT) through the Decision and Policy Analysis (DAPA) Research Area, is carrying out studies on water balance and monitoring climatic data, in order to contribute to the development of an agroclimatic bulletin that will later be distributed to local producers and partners to contribute to the processes of climate adaptation in the region.The studies are also within the framework of the "A Common Journey" project of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and is financed by the International Fund for Agricultural Development (IFAD).

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