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The Land- Potential Knowledge System (LandPKS): mobile apps and collaboration for optimizing climate change investments

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Ecosystem Health and Sustainability 2016年第3期2卷 31-38页

作者： Jeffrey E.Herrick Adam Beh Edmundo Barrios Ioana Bouvier Marina Coetzee David Dent Emile Elias Tomislav Hengl Jason W.Karl hanspeter liniger John Matuszak Jason CNeff Lilian Wangui Ndungu Michael Obersteiner Keith D.Shepherd Kevin C.Urama Rik van den Bosch Nicholas P.Webb U.S.Department of Agriculture-Agricultural Research Service New Mexico State UniversityJornada Experimental Range MSC 3JERBox 30003Las CrucesNew Mexico 88003-8003 USA World Agroforestry Centre United Nations AvenueGigiriP.O.Box 30677Nairobi00100Kenya U.S.Agency for International Development 3014th StreetSW SA-44(Rm 848)WashingtonD.C.20024 USA Namibia University of Science and Technology 13 Storch StreetPrivate Bag 13388WindhoekNamibia Merchants of Light Ltd Forncett EndNorfolkEngland ISRIC-World Soil information Droevendaalsesteeg 36708PB WageningenThe Netherlands Center for the development and Environment University of BernHallerstrasse 103012BernSwitzerland U.S.Department of State/OES 2201 C St.NWWashingtonD.C.20520USA Environmental Studies Program University of Colorado at BoulderCampus Box 397BoulderColorado 80309 USA RCMRD SERVIR-Eastern&Southern AfricaP.O.Box 63200618 RuarakaNairobiKenya International Institute for Applied Systems Analysis Schlossplatz 1 A-2361LaxenburgAustria African Development Bank Avenue Jean-Paul II01 BP 1387Abidjan 01Côte d’Ivoire

Massive investments in climate change mitigation and adaptation are projected during coming *** of these investments will seek to modify how land is *** return on both types of investments can be increased through an understanding of land potential:the potential of the land to support primary production and ecosystem services,and its resilience.A Land-Potential Knowledge System(LandPKS)is being developed and implemented to provide individual users with point-based estimates of land potential based on the integration of simple,geo-tagged user inputs with cloud-based information and *** system will rely on mobile phones for knowledge and information exchange,and use cloud computing to integrate,interpret,and access relevant knowledge and information,including local knowledge about land with similar *** system will initially provide management options based on long-term land potential,which depends on climate,to-pography,and relatively static soil properties,such as soil texture,depth,and *** mod-ules will provide more specific management information based on the status of relatively dynamic soil properties such as organic matter and nutrient content,and of *** paper includes a discus-sion of how this system can be used to help distinguish between meteorological and edaphic drought.

关键词： agriculture analytics crowdsourcing expert systems extension knowledge management land evaluation land-use planning mobile apps sustainability sustainable land management

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Deep Gradient Learning for Efficient Camouflaged Object Detection

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Machine Intelligence Research 2023年第1期20卷 92-108页

作者： Ge-Peng Ji Deng-Ping Fan Yu-Cheng Chou Dengxin Dai Alexander liniger Luc Van Gool School of Computer Science Wuhan UniversityWuhan 430072China Computer Vision Laboratory ETH ZürichZürich 8092Switzerland

This paper introduces deep gradient network(DGNet),a novel deep framework that exploits object gradient supervision for camouflaged object detection(COD).It decouples the task into two connected branches,i.e.,a context and a texture *** es-sential connection is the gradient-induced transition,representing a soft grouping between context and texture *** from the simple but efficient framework,DGNet outperforms existing state-of-the-art COD models by a large ***,our efficient version,DGNet-S,runs in real-time(80 fps)and achieves comparable results to the cutting-edge model JCSOD-CVPR21 with only 6.82%*** application results also show that the proposed DGNet performs well in the polyp segmentation,defect detec-tion,and transparent object segmentation *** code will be made available at https://***/GewelsJI/DGNet.

关键词： Camouflaged object detection(COD) object gradient soft grouping efficient model image segmentation

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Undersowing cabbage and leek plants with clover during 1994 and 1995

Undersowing cabbage and leek plants with clover during 1994 ...

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The Meeting of Integrated Control in Field Vegetable Crops

作者： J.Freuler H.Meyer P.Pignon C.liniger Station Federale de recherches agronomiques de Changins CH-1260 NyonSwitzerland

＜正＞The clover Trifolium subterraneum *** was rapidly overwhelmed and almost totally suppressed by weeds 1) when sown in the spring three weeks before planting white cabbage（***）;2) when sown in the autumn of the year before planting white cabbage（***） in the spring;or 3) when sown in the end of spring one month before planting leek（***）. The cabbages and leeks were planted by a machine which disturbed up to 50%of the soil *** slowed down the growth of the clover and prevented it from establishing. Growing the cabbage plants at a higher density and applying the fertilizer as a split dose failed to overcome the competition from the ***,final crop yield was poor. Evaluation at harvest appeared to indicate that the green cover deterred infestation by the cabbage root fly,the cabbage aphid and cabbage caterpillars but encouraged infestation by flea beetles and slugs. In the leek crop,the clover Trifolium subterraneum was almost completely outcompeted by the weed Portulaca *** thrips populations were much smaller on the leeks in the green cover plot.

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满足全球需要的水土保持技术与方法综述

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中国水土保持 2002年第7期 34-34页

作者： H.P.liniger,Dennis Cahill,Will Critchley,Donald Thomas,G.W.J.van Lynden,Gudrun Schwilch Centre for Development and Environment University of Berne International Cooperation Centre Vrije Universiteit Amsterdam International Soil Reference and Information Centre Centre for Development and Environment University of Berne Hallerstrasse12 3012Ber

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满足全球需要的水土保持技术与方法综述

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中国水土保持 2002年第7期 30-30页

作者： H.P.liniger Dennis Cahill Will Critchley Donald Thomas G.W.J.van Lynden Gudrun Schwilch Centre for Development and Environment University of BerneInternational Cooperation CentreVrije Universiteit AmsterdamInternational Soil Reference and Information CentreCentre for Development and EnvironmentUniversity of Berne Hallerstrasse123012Ber

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电磁阀线圈故障的早期检测

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家电科技 2020年第4期 16-16页

作者： J.liniger S.Stubkier M.Soltani H.C.Pedersen

介绍了用于检测电磁阀中线圈故障早期迹象的基于模型的方案开发和应用。与其他工作不同,所提出的方法仅将故障引起的线圈电阻变化与热效应隔离开来,并提供了经济有效的解决方案,而无需全面的设备需求。

关键词：电磁阀早期检测设备需求热效应线圈电阻故障解决方案开发和应用

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