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A survey of high resolution image processing techniques for cereal crop growth monitoring

Information Processing in Agriculture 2022年第2期9卷 300-315页

作者： Sanaz Rasti Chris J.Bleakley N.M.Holden Rebecca Whetton david langton Gregory O’Hare School of Computer Science University College DublinDublinIreland School of Agriculture and Food Science University College DublinDublinIreland School of Biosystems and Food Engineering University College DublinDublinIreland Origin Enterprises plc DublinIreland

This paper presents a survey of image processing techniques proposed in the literature forextracting key cereal crop growth metrics from high spatial resolution, typically proximalimages. The descriptive crop growth metrics considered are: crop canopy cover, aboveground biomass, leaf area index (including green area index), chlorophyll content, andgrowth stage. The paper includes an overview of relevant fundamental image processingtechniques including camera types, colour spaces, colour indexes, and image segmentation. The descriptive crop growth metrics are defined. Reference methods for groundtruth measurement are described. Image processing methods for metric estimation aredescribed in detail. The performance of the methods is reviewed and compared. The surveyreveals limitations in image processing techniques for cereal crop monitoring such as lackof robustness to lighting conditions, camera position, and self-obstruction. Directions forfuture research to improve performance are identified.

关键词： Crop canopy cover Above ground biomass Leaf area index Chlorophyll content Growth stage Cereal image processing

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Service design for climate-smart agriculture

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Information Processing in Agriculture 2021年第2期8卷 328-340页

作者： Michael O’Grady david langton Francesca Salinari Peter Daly Gregory O’Hare School of Computer Science University College DublinBelfieldDublin 4Ireland Origin Enterprises plc 4-6 RiverwalkCitywest Business CampusDublin 24Ireland

Holistic information systems for climate-smart agriculture demands the seamless integration of various categories of climate,meteorological and weather data.Any actor in the agricultural value chain may harness weather forecasts at the short and medium-range,local weather history,and prevailing climatic conditions,to inform decision-making.Weather is fundamental to many day-to-day operations,especially at farm-level,influencing decision-making at various spatial and temporal scales.Many operational decisions ideally require hyper-localized service provision.In practice,integrating weather information into decision-support services demands a comprehensive understanding of various categories of weather-related data,their genesis,as well as the specific standards and data formats used by the meteorological community.This paper considers the weather as a crucial context for the delivery of farm-level operational services in smart agriculture,highlighting critical issues for reflection by system designers during the service design and implementation phases.

关键词： Smart agriculture Climate services Agrometeorology Precision agriculture

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Molecular phylogeny, morphology, pigment chemistry and ecology in Hygrophoraceae (Agaricales)

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Fungal Diversity 2014年第1期64卷 1-99页

作者： D.Jean Lodge Mahajabeen Padamsee P.Brandon Matheny M.Catherine Aime Sharon A.Cantrell david Boertmann Alexander Kovalenko Alfredo Vizzini Bryn T.M.Dentinger Paul M.Kirk A.Martyn Ainsworth Jean-Marc Moncalvo Rytas Vilgalys Ellen Larsson Robert Lücking Gareth W.Griffith Matthew E.Smith Lorelei L.Norvell Dennis E.Desjardin Scott A.Redhead Clark L.Ovrebo Edgar B.Lickey Enrico Ercole Karen W.Hughes Régis Courtecuisse Anthony Young Manfred Binder Andrew M.Minnis Daniel L.Lindner Beatriz Ortiz-Santana John Haight Thomas Læssøe Timothy J.Baroni József Geml Tsutomu Hattori Center for Forest Mycology Research Northern Research StationUSDA-Forest ServiceLuquilloPR 00773-1377USA Systematics Team Landcare Research231 Morrin RoadAuckland 1072New Zealand Ecology&Evolutionary Biology University of TennesseeKnoxvilleTN 37996-1610USA Department of Botany&Plant Pathology Purdue UniversityWest LafayetteIN 47907USA Science and Technology Universidad del TuraboGuraboPR 00778-3030USA Department of Bioscience Aarhus UniversityFrederiksborgvej 399DK-4000 RoskildeDenmark Komarov Botanical Institute of the Russian Academy of Sciences 2 Prof.Popov Str.St.Petersburg 197376Russia Dipartimento di Scienze della Vita e Biologia dei Sistemi Universitàdi TorinoViale P.A.Mattioli 2510125 TorinoItaly Mycology Royal Botanic GardensKewRichmondSurrey TW93DSUK Royal Ontario Museum 100 Queen’s ParkTorontoONCanada Biology Department Duke UniversityDurhamNC 27708-0338USA Biological&Environmental Sciences University of GothenburgGöteborgSweden Science&Eduaction Integrative Research&Collections(Botany)The Field Museum of Natural History1400 Lake Shore Dr.ChicagoIL 60605-2496USA University of Wales AberystwythCeredigion SY233DDUK Department of Plant Pathology University of FloridaGainesvilleFL 32611-0680USA Pacific Northwest Mycology Service 6720 NW Skyline BvdPortlandOR 97229-1309USA Department of Biology San Francisco State University1600 Holloway Ave.San FranciscoCA 94132USA National Mycological Herbarium(DAOM) Science and Technology BranchAgriculture&Agri-FoodsCanada960 Carling AvenueOttawaOntarioCanada ONT K1A 0C6 Department of Biology University of Central OklahomaEdmondOK 73034USA Department of Biology Bridgewater College402 E.College St.BridgewaterVA 22812USA Department of Botany Faculty of Pharmaceutical&Biological SciencesLilleFrance 100 langton Road BlackbuttQld 4306Australia CBS Fungal Biodiversity Centre Evolutionary PhytopathologyInst.of the Royal Netherlands Academy of Arts&Sciences(KNAW)Uppsalalaan 83584 CT UtrechtThe Netherlands

Molecular phylogenies using 1–4 gene regions and information on ecology,morphology and pigment chemistry were used in a partial revision of the agaric family Hygrophoraceae.The phylogenetically supported genera we recognize here in the Hygrophoraceae based on these and previous analyses are:Acantholichen,Ampulloclitocybe,Arrhenia,Cantharellula,Cantharocybe,Chromosera,Chrysomphalina,Cora,Corella,Cuphophyllus,Cyphellostereum,Dictyonema,Eonema,Gliophorus,Haasiella,Humidicutis,Hygroaster,Hygrocybe,Hygrophorus,Lichenomphalia,Neohygrocybe,Porpolomopsis and Pseudoarmillariella.A new genus that is sister to Chromosera is described as Gloioxanthomyces.Revisions were made at the ranks of subfamily,tribe,genus,subgenus,section and subsection.We present three new subfamilies,eight tribes(five new),eight subgenera(one new,one new combination and one stat.nov.),26 sections(five new and three new combinations and two stat.nov.)and 14 subsections(two new,two stat.nov.).Species of Chromosera,Gliophorus,Humidicutis,and Neohygrocybe are often treated within the genus Hygrocybe;we therefore provide valid names in both classification systems.We used a minimalist approach in transferring genera and creating new names and combinations.Consequently,we retain in the Hygrophoraceae the basal cuphophylloid grade comprising the genera Cuphophyllus,Ampulloclitocybe andCantharocybe,despite weak phylogenetic support.We include Aeruginospora and Semiomphalina in Hygrophoraceae based on morphology though molecular data are lacking.The lower hygrophoroid clade is basal to Hygrophoraceae s.s.,comprising the genera Aphroditeola,Macrotyphula,Phyllotopsis,Pleurocybella,Sarcomyxa,Tricholomopsis and Typhula.

关键词： Hygrophoraceae Fungi Revisionary systematics Nomenclatural revision Phylogenetics Pigment chemistry Lamellar trama construction Hymenial morphology Ecology

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