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Статті в журналах з теми "Insect Pest Monitoring"
Groot, Peter de, Jean J. Turgeon, and Gordon E. Miller. "Status of cone and seed insect pest management in Canadian seed orchards." Forestry Chronicle 70, no. 6 (December 1, 1994): 745–61. http://dx.doi.org/10.5558/tfc70745-6.
Повний текст джерелаHagstrum, David William, and Paul Whitney Flinn. "Modern Stored-Product Insect Pest Management." Journal of Plant Protection Research 54, no. 3 (July 1, 2014): 205–10. http://dx.doi.org/10.2478/jppr-2014-0031.
Повний текст джерелаFEDOR, PETER, JAROMÍR VAŇHARA, JOSEF HAVEL, IGOR MALENOVSKÝ, and IAN SPELLERBERG. "Artificial intelligence in pest insect monitoring." Systematic Entomology 34, no. 2 (January 31, 2009): 398–400. http://dx.doi.org/10.1111/j.1365-3113.2008.00461.x.
Повний текст джерелаHausmann, Johannes. "Challenges for integrated pest management of Dasineura brassicae in oilseed rape." Arthropod-Plant Interactions 15, no. 5 (August 23, 2021): 645–56. http://dx.doi.org/10.1007/s11829-021-09861-1.
Повний текст джерелаNorin, Torbjörn. "Semiochemicals for insect pest management." Pure and Applied Chemistry 79, no. 12 (January 1, 2007): 2129–36. http://dx.doi.org/10.1351/pac200779122129.
Повний текст джерелаShortall, Chris R., Sarah A. M. Perryman, Kirstie Halsey, and Jon S. West. "The Potential of Fluorescence Imaging to Distinguish Insect Pest and Non-pest Species." Outlooks on Pest Management 33, no. 1 (February 1, 2022): 13–16. http://dx.doi.org/10.1564/v33_feb_05.
Повний текст джерелаPachkin, A. A., O. Yu Kremneva, R. Yu Danilov, and A. V. Ponomarev. "Vegetable Pest Monitoring Using Insect Trap Lights." Machinery and Equipment for Rural Area, no. 10 (November 8, 2021): 28–32. http://dx.doi.org/10.33267/2072-9642-2021-10-28-32.
Повний текст джерелаRajendran, Somiahnadar. "Insect Pest Management in Stored Products." Outlooks on Pest Management 31, no. 1 (February 1, 2020): 24–35. http://dx.doi.org/10.1564/v31_feb_05.
Повний текст джерелаDadheech, Pankaj, Ankit Kumar, Vijander Singh, Ramesh C. Poonia, and Linesh Raja. "A WSN-Based Insect Monitoring and Pest Control System Through Behavior Analysis Using Artificial Neural Network." International Journal of Social Ecology and Sustainable Development 13, no. 1 (January 2022): 1–24. http://dx.doi.org/10.4018/ijsesd.290310.
Повний текст джерелаMckinlay, R. G. "Insect Pest Control on Potatoes." Outlook on Agriculture 17, no. 1 (March 1988): 30–34. http://dx.doi.org/10.1177/003072708801700106.
Повний текст джерелаДисертації з теми "Insect Pest Monitoring"
Malek, Robert Nehme. "Novel Monitoring and Biological Control of Invasive Insect Pests." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/257781.
Повний текст джерелаSchmid, Ryan B. "Hessian fly, Mayetiola destructor (Diptera: Cecidomyiidae), smart-trap design and deployment strategies." Diss., Kansas State University, 2018. http://hdl.handle.net/2097/38763.
Повний текст джерелаDepartment of Entomology
Brian P. McCornack
Timely enactment of insect pest management and incursion mitigation protocols requires development of time-sensitive monitoring approaches. Numerous passive monitoring methods exist (e.g., insect traps), which offer an efficient solution to monitoring for pests across large geographic regions. However, given the number of different monitoring tools, from specific (e.g., pheromone lures) to general (e.g., sticky cards), there is a need to develop protocols for deploying methods to effectively and efficiently monitor for a multitude of potential pests. The non-random movement of the Hessian fly, Mayetiola destructor (Say) (Diptera: Cecidomyiidae), toward several visual, chemical, and tactile cues, makes it a suitable study organism to examine new sensor technologies and deployment strategies that can be tailored for monitoring specific pests. Therefore, the objective was to understand Hessian fly behavior toward new sensor technologies (i.e., light emitting diodes (LEDs) and laser displays) to develop monitoring and deployment strategies. A series of laboratory experiments and trials were conducted to understand how the Hessian fly reacts to the technologies and how environmental factors may affect the insect’s response. Hessian fly pupae distribution within commercial wheat fields was also analyzed to determine deployment of monitoring strategies. Laboratory experiments demonstrated Hessian fly attraction to green spectrum (502 and 525 nm) light (LEDs), that response increased with light intensity (16 W/m2), and that they responded in the presence of wheat odor and the Hessian fly female sex-pheromone, but, response was reduced under ambient light. These laboratory experiments can be used to build a more targeted approach for Hessian fly monitoring by utilizing the appropriate light wavelength and intensity with pheromone and wheat odor to attract both sexes, and mitigating exposure to ambient light. Together this information suggested that light could be used with natural cues to increase attraction. Therefore, a light source (green laser display) was applied to a wheat microcosm, which resulted in greater oviposition in wheat covered by the laser display. Examination of Hessian fly pupal distribution within commercial wheat fields showed that proportion of wheat within a 1 km buffer of the field affected distribution between fields. This helps to inform deployment of monitoring strategies as it identified fields with a lower proportion of wheat within a 1 km buffer to be at higher risk Hessian fly infestation, and therefore monitoring efforts should be focused on those fields. Together this work demonstrates Hessian fly behavior toward new sensor technologies, how those technologies interact with environmental cues, and how environmental composition affects pupal distribution. Collectively this information will enable cheaper, more accurate and more efficient monitoring of this destructive pest.
Joubert, Francois D. "Assessment of pheromone specificity in Thaumatotibia leucotreta (Meyrick) populations with focus on pest monitoring and the regional rollout of the sterile insect technique in citrus." Thesis, Rhodes University, 2018. http://hdl.handle.net/10962/60665.
Повний текст джерелаWeldon, Christopher William. "Dispersal and mating behaviour of Queensland fruit fly, Bactrocera tryoni(Froggatt) (Diptera: Tephritidae): Implicationsfor population establishment and control." University of Sydney. Biological Sciences, 2005. http://hdl.handle.net/2123/700.
Повний текст джерелаJacquemai, Ivo. "Acoustic wireless sensing for environmental monitoring." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2011. https://ro.ecu.edu.au/theses/395.
Повний текст джерелаRogers, Richard E. L. "Insect and mite monitoring in commercial apple orchards in Nova Scotia (1979-1985)." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65368.
Повний текст джерелаAlm, Steven Robert. "Monitoring and control of Conotrachelus nenuphar (Herbst) and Glischrochilus quadrisignatus (Say) : (Coleoptera--curculionidae, nitidulidae) /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487262825075913.
Повний текст джерелаMeurisse, Nicolas. "Chemical ecology of rhizophagus grandis (Coleoptera: Monotomidae) and its application to the biological control of dendroctonus micans (Coleoptera: Scolytinae)." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210567.
Повний текст джерелаIn this scope, the development of an effective trapping method would be very useful to assess the bark-beetle presence at previously uninfested sites, or predator establishment after release or natural spread. We demonstrated the efficiency of oxygenated monoterpenes-baited kairomone traps to monitor R. grandis in various epidemiological conditions, including areas localized behind or at the limit of the pest’s distribution, or in areas where artificial releases were performed. Because the predator is strictly species-specific, another exciting possibility offered by the kairomone trapping is the indirect monitoring of the pest itself in areas of unknown status (e.g. areas under colonization, or considered as at risk at medium- term).
R. grandis is also considered as one of the most valuable natural enemies to strike aggressive North-American Dendroctonus species. In this respect, R. grandis has been recently applied in a neo-classical biological program against the red turpentine beetle D. valens, which invaded China from North America in the late 1990’s. In laboratory tests conducted on pine logs in the laboratory, or on living pine trees in the field, we demonstrated that R. grandis adults can successfully enter and reproduce into D. valens galleries.
In Europe, R. grandis is the only species regularly found in the brood systems of D. micans, where adults and larvae attack the gregarious larvae of their prey. In such enclosed systems, R. grandis’ functional response is therefore influenced by various interrelated components, such as the prey density, the predator density, or the prey distribution. Measuring the predator’s success in terms of larval survival and growth rates, we demonstrated the time spent by R. grandis larvae to wound and kill their prey to be the main factor limiting their development. This factor may be considerably influenced by the proportions of diseased, wounded or molting prey rise in the brood system, for instance as a result of an increase in prey density, or due to the presence of conspecific adults (which wound their prey but do not consume them entirely). Furthermore, our tests suggest that no cannibalism or noticeable intraspecific competition occurred between R. grandis larvae, whereas some lighter mode of competition probably took place.
R. grandis also exhibits a reproductive numerical response to prey density, which mainly relies on the perception of chemical stimuli and inhibitors released in the bark beetle brood system. In the current study, we developed a non-destructive approach to follow the dynamics of volatile compound production, using sequential sample collection on SPME fibers. Our tests demonstrated that the larval activity of D. micans or D. valens strongly influences the release of some oxygenated monoterpenes. However, our attempts to correlate the relative quantities of some identified chemicals to offspring production were less successful as it concerns the identification of potential oviposition stimuli and inhibitors.
The problematic rose by the progression of D. micans, as well as detailed results of each of the described above studies are discussed in the two published papers and the three manuscripts forming this thesis. Bringing all these studies together, several perspectives are also presented in the general discussion.
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Ravageur des épicéas, Dendroctonus micans est toujours en voie d’extension en France, en Turquie, en Angleterre et au Pays de Galles. Dans la plupart de ces zones, le dendroctone est accompagné de manière naturelle par son prédateur monospécifique, Rhizophagus grandis. Depuis les années 1960, le prédateur a également fait l’objet d’une production de masse et de programmes de lâchers dans les zones d’arrivée récente du scolyte.
Dans le cadre de la lutte biologique contre D. micans, les gestionnaires forestiers doivent donc estimer au plus tôt la présence du ravageur dans des zones jusque là indemnes, mais également vérifier l’établissement du prédateur par progression naturelle ou résultant d’introductions délibérées. Dans la présente étude, nous avons démontré l’efficacité de pièges d’interception appatés à l’aide de monoterpènes oxygénés pour la capture de R. grandis. Celle-ci s’est faite dans différentes conditions épidémiologiques, incluant notamment des zones situées en arrière du front de progression du scolyte et des zones où des lâchers artificiels ont été réalisés. Comme R. grandis est strictement inféodé au dendroctone, un autre avantage de la technique est la possibilité de réaliser un dépistage indirect du ravageur dans les zones où son statut est incertain (zones en cours de colonisation, ou considérées comme à risque à moyen terme).
Par ailleurs, R. grandis est également considéré comme un des meilleurs ennemis naturels potentiels pour lutter contre d’autres espèces de Dendroctonus aggressifs. Dans cette optique, R. grandis a été récemment utilisé dans un programme de lute biologique contre D. valens, ravageur invasif arrivé en Chine dans la fin des années 1990 en provenance d’Amérique du Nord. Nous avons démontré la capacité de R. grandis à s’introduire et à se reproduire dans les galeries de D. valens lors de tests de laboratoire, mais aussi sur des arbres vivants en pinèdes.
En Europe, R. grandis est strictement inféodé aux galeries de D. micans, où larves et adultes du prédateur s’attaquent aux larves grégaires du scolyte. Dans ce système clos, la réponse fonctionelle de R. grandis est influencée par plusieurs facteurs étroitement corrélés, la densité de proies, la densité de prédateurs, et la distribution des proies. En mesurant l’efficacité de prédation de R. grandis en termes de survie des larves et de taux de croissance, nous avons démontré l’influence sur leur développement du temps passé par les larves à blesser et à tuer leurs proies. Ce facteur est par ailleurs fortement dépendant de la proportion de larves malades, blessées ou en cours de mue au sein du système ;une proportion qui peut augmenter en réponse à une augmentation de la densité de proies, ou lorsque des adultes sont présents (ceux-ci blessent les proies mais ne les consomment pas entièrement). Enfin, nos tests suggèrent qu’il n’existe que peu de cannibalisme ou de compétition intraspécifique entre larves de R. grandis, tandis que des modes de compétition moins importants prennent vraisemblablement place.
R. grandis présente également une réponse numérique reproductive à la densité de proies disponibles, principalement basée sur la perception de stimuli et d’inhibiteurs présents dans les galeries du scolyte. Par la collecte de composés volatils présents dans ces systèmes à l’aide de fibres SPME, nous avons développé une méthode non-destructive pour suivre la dynamique de production des médiateurs chimiques. Nos tests ont démontré que l’activité des larves de D. micans ou D. valens influence fortement la dynamique de production de certains monoterpènes oxygénés. En revanche, il n’a pas été été possible de corréler les différents composés identifiés au nombre de larves de R. grandis présentes dans le système.
La problématique soulevée par la progression de D. micans, de même que les résultats détaillés de chacune des études décrites ci-dessus sont discutés dans les deux papiers publiés et les trois manuscrits formant cette thèse. Les différentes perspectives apportées par ce travail sont également présentées dans la discussion générale.
Doctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished
De, Villiers M. (Marelize). "Die gebruik van 'n swaainet vir die monitering en diversiteitsbepaling van insekte op lusern in die Wes-Kaap." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52775.
Повний текст джерелаENGLISH ABSTRACT: Lucerne is the most important pasture and fodder crop in the winter rainfall area of South Africa. Various pests are known to cause damage to this crop. The use of the sweep net for monitoring pests is a cheap, easy and quick technique. If the sweep net is suitable for the lucerne pests in South Africa, potential pest status can be determined easily and quickly and the necessary precautionary measures taken to prevent crop losses. From a managerial point of view, it is also important to know the composition of the insect community in order to follow practices in which the number of beneficial insects can be increased and the injurious insects decreased. Therefore a study was done to quantify the use of the sweep net as a survey technique for monitoring pests on established lucerne stands. Insect diversity was also determined to obtain information on the insect families and guilds on lucerne. The redlegged earth mite, due to its importance as a pest, and the Anystis mite, important as a predator, were also included. The sweep net proved to be suitable for the sampling of the main lucerne pests. If a 29 cm diameter sweep net is swiped once per pace for six long paces, twelve systematically chosen sampling units are recommended for the lucerne earth flea and aphids. It is not necessary to differentiate amongst the three aphid species, or between the winged and unwinged aphids. Actual counts should be used instead of absence-presence data. Instead of counting all the insects in a sample, sub-samples can be taken. Operational characteristic curves can be used to determine the risk involved in the decision not to intervene, for example by spraying or grazing. Recommendations for monitoring and the accuracy of control decisions for the redlegged earth mite, Sitona weevil and lucerne butterfly can only be made after threshold values have been determined. The pea aphid, bluegreen aphid and lucerne earth flea showed peaks in their population levels during spring. Peak numbers of the spotted alfalfa aphid occurred during late summer and autumn. The Sitona weevil and lucerne butterfly numbers reached peak levels during late spring and early summer. For all pests population levels were dramatically reduced after grazing or cutting of the plantings. Therefore, these cultivation practices provided good control. The herbivores made up more than 85% of the insect community in lucerne. The largest herbivorous families, in terms of the number of individuals per family, were the Aphididae and Sminthuridae. These two families contain the main lucerne pests, the pea aphid, bluegreen aphid, spotted alfalfa aphid and the lucerne earth flea. The largest predatory family was the Anystidae, represented by the Anystis mite, the most important predator of the red legged earth mite and lucerne earth flea. Another well represented predatory family was the Coccinellidae, containing natural enemies of the aphids. The dryland plantings had a higher percentage of predators than the irrigated lucerne. The most important parasitaids were those in the superfamily Chalcidoidea and in the family Braconidae. The main detritivores were springtails in the suborder Arthropleona, insects in the families Mycetophilidae on irrigated lucerne, and Mycetophagidae on dryland lucerne. The most abundant visitors were in the families Chironomidae, Drosophilidae and Tephritidae. The dryland plantings had a lower percentage of visitors than the irrigated plantings. The number of insect families, as well as the number of individuals per family, was lower at the dryland plantings than at the irrigated plantings. The vast majority of insect families found on lucerne were collected during the one-year sampling period. A lower diversity was found where grazing was more severe, and there was a negative relationship between diversity and evenness.
AFRIKAANSE OPSOMMING: Lusern is die belangrikste wei- en voergewas 10 die winterreëngebied van Suid- Afrika. Hierdie gewas word deur 'n verskeidenheid plae aangeval. Die gebruik van die swaainet vir die monitering van plae is 'n goedkoop, maklike en vinnige tegniek. lndien die swaainet geskik is vir die betrokke plae in Suid-Afrika, kan potensiële plaagstatus van die plae dus maklik en vinnig bepaal word en die nodige voorsorgmaatreëls getref word om verliese te voorkom. Vanuit 'n bestuursoogpunt is dit ook belangrik om te weet wat die samestelling van die insekgemeenskap is sodat praktyke gevolg kan word waardeur die getal voordelige insekte verhoog en nadelige insekte verlaag word. Gevolglik is 'n studie uitgevoer om die gebruik van die swaainet te kwantifiseer as 'n monsternemingsmetode vir die monitering van plae op gevestigde lusernstande. Insekdiversiteit is ook bepaal ten einde inligting te bekom oor die insekfamilies en -gildes op lusern. Die lusernerdvlooi en swartsandmyt, vanweë hul belang as plae, en die Anystis-roofmyt, vanweë sy belang as predator, is ook ingesluit. Die swaainet blyk geskik te wees vir die monitering van die. vernaamste lusernplae. Wanneer 'n 29 cm deursnee swaainet vir ses lang treë een keer per tree geswaai word, word 12 sistematies gekose steekproefnemingseenhede vir die lusernerdvlooi en plantluise aanbeveel. Daar hoef nie onderskeid tussen die plantluisspesies en tussen gevleuelde en ongevleuelde plantluise getref te word nie. Daar moet gebruik gemaak word van werklike insektellings en nie van aanwesigheid-afwesigheid data nie. In plaas van om al die insekte in 'n monster te tel, kan submonsters geneem word. Operasionele karakteristieke kurwes kan gebruik word om die risiko verbonde aan die besluit om nie op te tree, deur byvoorbeeld te spuit of bewei nie, te bepaal. Vir die swartsandmyt, Sitona-snuitkewer en lusernskoenlapper moet drempelwaardes eers vasgestel word voordat aanbevelings vir monitering en die akkuraatheid van besluite rakende beheer, gegee kan word. Vir die ertjieluis, blougroenluis en lusernerdvlooi het die bevolkingsvlakke 'n piek in die lente bereik. Die gevlekte lusernluis se piekgetalle was hoofsaaklik in die laat somer en herfs. Die Sitona-snuitkewer en lusernskoenlapper het piekgetalle gehad in die laat lente en vroeë somer. Vir al die plae het bevolkingspieke drasties afgeneem nadat die aanplantings bewei of gesny is. Hierdie verbouingspraktyke blyk dus goeie beheer te verskaf. Die herbivore op lusern het meer as 85% van die insekgemeenskap beslaan. Die grootste herbivoorfamilies, in terme van aantal individue per familie, was die Aphididae en Sminthuridae. Hierdie twee families bevat die vernaamste lusernplae, naamlik die ertjieluis, blougroenluis, gevlekte lusernluis en lusernerdvlooi. Die grootste predatoriese familie was die Anystidae, wat verteenwoordig is deur die Anystis-roofmyt. 'n belangrike predator van die swartsandmyt en lusernerdvlooi. Nog 'n predatoriese familie wat goed verteenwoordig was, was die Coccinellidae, natuurlike vyande van plantluise. Die droëland aanplantings het 'n hoër persentasie predatore gehad as die besproeide lusern. Die belangrikste parasitoïede aanwesig was dié in die superfamilie Chalcidoidea en familie Braconidae. Die vernaamste detritivore was erdvlooie in die suborde Arthropleona, insekte in die families Mycetophilidae by besproeide lusern, en Mycetophagidae by droëland lusern. Die volopste besoekers was lede van die families Chironomidae, Drosophilidae en Tephritidae. Die droëland aanplantings het 'n laer persentasie besoekers gehad as die besproeide lusern. Die aantal insekfamilies, asook die aantal individue per familie, was laer by die droëland aanplantings as by die besproeide aanplantings. Die oorgrote meerderheid insekfamilies wat op lusern voorkom, is gedurende die een jaar opnameperiode waargeneem. 'n Laer insekdiversiteit is gevind waar beweiding strawwer was, en daar was 'n negatiewe verband tussen diversiteit en gelykmatigheid.
Böckmann, Elias [Verfasser]. "Combined monitoring of pest and beneficial insects with sticky traps, as basis for decision making in greenhouse pest control : a proof of concept study / Elias Böckmann." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2015. http://d-nb.info/1076059481/34.
Повний текст джерелаКниги з теми "Insect Pest Monitoring"
United States. Animal and Plant Health Inspection Service. Plant Protection and Quarantine Programs., ed. Exotic pest detection manual. [Beltsville, Md.?]: APHIS Plant Protection and Quarantine, 1986.
Знайти повний текст джерелаShepherd, Roy F. Pest management of Douglas-fir tussock moth: Procedures for insect monitoring, problem evaluation and control actions. Victoria, B.C: Pacific Forestry Centre, 1986.
Знайти повний текст джерелаUnited States. Agricultural Research Service. National Program Staff. Report of workshop: Semiochemicals for monitoring and control of vegetable crop pest insects : Beltsville, MD, September 24, 1992. Beltsville, Md.?]: U.S. Dept. of Agriculture, Agricultural Research Service, National Program Staff, 1992.
Знайти повний текст джерелаPleshanova, G. I. Ėkologii︠a︡ sinantropnykh nasekomykh Vostochnoĭ Sibiri: I︠a︡vlenie sinantropizat︠s︡ii, ėkologicheskie zakonomernosti formirovanii︠a︡ fauny, sistema monitoringa i zashchity. Irkutsk: Izd-vo In-ta geografii SO RAN, 2005.
Знайти повний текст джерелаAerial Pest Detection and Monitoring Workshop (1994 Las Vegas, Nev.). Proceedings: Aerial Pest Detection and Monitoring Workshop, April 26-29. 1994, Las Vegas, Nevada. Missoula, MT: USDA Forest Service, Forest Pest Management, Northern Region, 1995.
Знайти повний текст джерелаBousfield, Wayne E. Users guide and documentation for insect and disease damage survey (INDIDS). Missoula, Mont: USDA Forest Service, Northern Region, State & Private Forestry, 1985.
Знайти повний текст джерелаAmsheev, R. M. Atlas vazhneĭshikh vidov lesnykh nasekomykh Zabaĭkalʹi︠a︡, Severnyĭ Mongolii i lesoėntomologicheskikh monitoring i prognoz. Ulan-Ude: Buri︠a︡tskiĭ nauch. t︠s︡entr SO RAN, 2006.
Знайти повний текст джерелаP, De Groot, and Great Lakes Forestry Centre, eds. User's guide to ConeSys: A cone crop monitoring and insect pest management decision support system for seed orchards. Sault Ste. Marie, Ont: Great Lakes Forestry Centre, 1996.
Знайти повний текст джерелаTakeyasu, Joyce. Control of mint root borer, Fumibotys fumalis, with the entomopathogenic nematode, Steinernema carpocapsae. 1994.
Знайти повний текст джерелаBailey, PT, ed. Pests of Field Crops and Pastures. CSIRO Publishing, 2007. http://dx.doi.org/10.1071/9780643095328.
Повний текст джерелаЧастини книг з теми "Insect Pest Monitoring"
Dent, David, and Richard H. Binks. "Sampling, monitoring and forecasting." In Insect pest management, 12–38. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789241051.0012.
Повний текст джерелаHowse, P. E., I. D. R. Stevens, and O. T. Jones. "Pest monitoring." In Insect Pheromones and their Use in Pest Management, 263–79. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5344-7_9.
Повний текст джерелаDhang, Partho, Philip Koehler, Roberto Pereira, and Daniel D. Dye, II. "Stored product pests." In Key questions in urban pest management: a study and revision guide, 100–107. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781800620179.0013.
Повний текст джерелаČokl, Andrej A., and Jocelyn G. Millar. "Manipulation of Insect Signaling for Monitoring and Control of Pest Insects." In Biorational Control of Arthropod Pests, 279–316. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2316-2_11.
Повний текст джерелаRajashekara, S., S. S. Gayathri Devi, and M. G. Venkatesha. "Biotechnological Tools for Monitoring, Assessment, and Insect Pest Management in Agricultural Ecosystems." In Advances in Integrated Pest Management Technology, 315–90. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94949-5_14.
Повний текст джерелаDwivedi, Mahaveer, Malik Hashmat Shadab, and V. R. Santosh. "Insect Pest Detection, Migration and Monitoring Using Radar and LiDAR Systems." In Innovative Pest Management Approaches for the 21st Century, 61–76. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0794-6_4.
Повний текст джерелаKammar, Vasudev, A. T. Rani, K. P. Kumar, and Akshay Kumar Chakravarthy. "Light Trap: A Dynamic Tool for Data Analysis, Documenting, and Monitoring Insect Populations and Diversity." In Innovative Pest Management Approaches for the 21st Century, 137–63. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0794-6_8.
Повний текст джерелаZhao, Feifei, and Yanyou Qiao. "Study on the Positioning of Forestry Insect Pest Based on DEM and Digital Monitoring Technique." In Information Computing and Applications, 48–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25255-6_7.
Повний текст джерелаLatchininsky, Alexandre V., and Ramesh Sivanpillai. "Locust Habitat Monitoring and Risk Assessment Using Remote Sensing and GIS Technologies." In Integrated Management of Arthropod Pests and Insect Borne Diseases, 163–88. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8606-8_7.
Повний текст джерелаSakkhamduang, Jeeranuch, Mari Arimitsu, and Machito Mihara. "Multi-stakeholder Approach to Conserving Agricultural Biodiversity and Enhancing Food Security and Community Health During the COVID-19 Pandemic in Kampong Cham, Cambodia." In Biodiversity-Health-Sustainability Nexus in Socio-Ecological Production Landscapes and Seascapes (SEPLS), 227–45. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9893-4_11.
Повний текст джерелаТези доповідей конференцій з теми "Insect Pest Monitoring"
Murzina, M. I. "Population density of grape moth in the Lower Don region." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-35.
Повний текст джерелаFrolov, A. N., I. V. Grushevaya, A. G. Kononchuk, T. A. Ryabchinskaya, V. B. Kolesnikov, and Tóth Miklós. "Evaluation of the effectiveness of the European corn borer monitoring using bisexual lure based on tests results in the Kuban and the Central Black Earth Zone of Russia." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-51.
Повний текст джерелаRustia, Dan Jeric Arcega, Jun-Jee Chao, Jui-Yung Chung, and Ta-Te Lin. "<i>An Online Unsupervised Deep Learning Approach for an Automated Pest Insect Monitoring System</i>." In 2019 Boston, Massachusetts July 7- July 10, 2019. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2019. http://dx.doi.org/10.13031/aim.201900477.
Повний текст джерелаHaseeb, Muhammad, Sharise James, Jesusa Legaspi, and Lambert Kanga. "Monitoring and Management Strategies for <em>Halyomorpha halys </em>(Hemiptera: Pentatomidae) a Newly Invaded Insect Pest of Specialty Crops in Florida." In The 1st International Electronic Conference on Entomology. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/iece-10398.
Повний текст джерелаSpomer, Neil A. "Remote monitoring of urban insect pests." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.112948.
Повний текст джерелаPulsifer, Drew P., Akhlesh Lakhtakia, Jayant Kumar, Thomas C. Baker, and Raúl J. Martín-Palma. "Toward pest control via mass production of realistic decoys of insects." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Akhlesh Lakhtakia. SPIE, 2012. http://dx.doi.org/10.1117/12.915924.
Повний текст джерелаZelensky, R. A., A. A. Pachkin, M. V. Ivanisova, and O. Yu Kremneva. "Effectiveness of LED traps for monitoring and controlling cotton bollworm in sunflower crops." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-21-1.
Повний текст джерелаDonica, Ala, and Natalia Raileanu. "Evaluări silvopatologice în arboretele de cvercinee (studiu de caz)." In Starea actuală a componentelor de mediu. Institute of Ecology and Geography, Republic of Moldova, 2019. http://dx.doi.org/10.53380/9789975315593.26.
Повний текст джерелаPimenov, S. V. "INFLUENCE OF AGROCLIMATIC FACTORS ON THE SPECIES COMPOSITION OF THE WAREHOUSE ENTOMOFAUNA IN STAVROPOL REGION." In V International Scientific Conference CONCEPTUAL AND APPLIED ASPECTS OF INVERTEBRATE SCIENTIFIC RESEARCH AND BIOLOGICAL EDUCATION. Tomsk State University Press, 2020. http://dx.doi.org/10.17223/978-5-94621-931-0-2020-30.
Повний текст джерелаShi, Yun, Zhen Wang, Xianfeng Wang, and Shanwen Zhang. "Internet of Things Application to Monitoring Plant Disease and Insect Pests." In 2015 International conference on Applied Science and Engineering Innovation. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/asei-15.2015.7.
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