Advances in insect pest and disease monitoring and forecasting in horticulture
Pest monitoring in horticulture is developing technologically to reduce time and labor needed for sampling and to produce more accurate pest predictions. New ways of detecting pests based on selective e-traps, e-noses, cameras and acoustic signatures are already in use or emerging. Remote sensing of...
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| Главный автор: | |
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| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
Burleigh Dodds Science Publishing
2023
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| Предметы: | |
| Online-ссылка: | ONIX_20230227_9781801463591_34 |
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Нет меток, Требуется 1-ая метка записи!
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| _version_ | 1869528124877701120 |
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| author | Vänninen, Irene |
| author_browse | Vänninen, Irene |
| author_facet | Vänninen, Irene |
| author_sort | Vänninen, Irene |
| collection | Directory of Open Access Books |
| description | Pest monitoring in horticulture is developing technologically to reduce time and labor needed for sampling and to produce more accurate pest predictions. New ways of detecting pests based on selective e-traps, e-noses, cameras and acoustic signatures are already in use or emerging. Remote sensing of pests requires the development of new economic injury levels and economic thresholds (ET). The relative importance of mechanistic and statistical models is changing due to AI-technologies and Big Data. The use of Big Data will force researchers to collect, use and value data differently than before. The incorporation of natural enemies in ETs will take place gradually and require researchers to acquire modeling skills. Research for advancing monitoring and forecasting also must include the socioeconomic factors that determine whether new technologies will be implemented by farmers. Developing trustworthy sampling plans and forecasting models,, and validating and implementing them in collaboration with stakeholders, remains important. |
| format | Online |
| id | doab-20.500.12854ir-97911 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Burleigh Dodds Science Publishing |
| publisherStr | Burleigh Dodds Science Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-979112025-07-17T12:15:58Z Advances in insect pest and disease monitoring and forecasting in horticulture Vänninen, Irene automated detection remote sensing sampling plans natural enemy adjusted economic threshold mechanistic models statistical models whiteflies thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production Pest monitoring in horticulture is developing technologically to reduce time and labor needed for sampling and to produce more accurate pest predictions. New ways of detecting pests based on selective e-traps, e-noses, cameras and acoustic signatures are already in use or emerging. Remote sensing of pests requires the development of new economic injury levels and economic thresholds (ET). The relative importance of mechanistic and statistical models is changing due to AI-technologies and Big Data. The use of Big Data will force researchers to collect, use and value data differently than before. The incorporation of natural enemies in ETs will take place gradually and require researchers to acquire modeling skills. Research for advancing monitoring and forecasting also must include the socioeconomic factors that determine whether new technologies will be implemented by farmers. Developing trustworthy sampling plans and forecasting models,, and validating and implementing them in collaboration with stakeholders, remains important. 2023-03-03T06:23:51Z 2023-03-03T06:23:51Z 2023-02-27T12:21:42Z 2022 chapter ONIX_20230227_9781801463591_34 https://library.oapen.org/handle/20.500.12657/61522 9781801463591 https://directory.doabooks.org/handle/20.500.12854/97911 eng Burleigh Dodds Series in Agricultural Science open access image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/61522/1/9781801463591_web.pdf https://library.oapen.org/bitstream/20.500.12657/61522/1/9781801463591_web.pdf https://library.oapen.org/bitstream/20.500.12657/61522/1/9781801463591_web.pdf Burleigh Dodds Science Publishing Burleigh Dodds Science Publishing 10.19103/AS.2021.0095.05 10.19103/AS.2021.0095.05 7f047d73-123f-4ae5-87fd-34c46926a6f9 9781801463591 Burleigh Dodds Science Publishing 66 Cambridge open access |
| spellingShingle | automated detection remote sensing sampling plans natural enemy adjusted economic threshold mechanistic models statistical models whiteflies thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production Vänninen, Irene Advances in insect pest and disease monitoring and forecasting in horticulture |
| title | Advances in insect pest and disease monitoring and forecasting in horticulture |
| title_full | Advances in insect pest and disease monitoring and forecasting in horticulture |
| title_fullStr | Advances in insect pest and disease monitoring and forecasting in horticulture |
| title_full_unstemmed | Advances in insect pest and disease monitoring and forecasting in horticulture |
| title_short | Advances in insect pest and disease monitoring and forecasting in horticulture |
| title_sort | advances in insect pest and disease monitoring and forecasting in horticulture |
| topic | automated detection remote sensing sampling plans natural enemy adjusted economic threshold mechanistic models statistical models whiteflies thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production |
| topic_facet | automated detection remote sensing sampling plans natural enemy adjusted economic threshold mechanistic models statistical models whiteflies thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVS Commercial horticulture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production |
| url | ONIX_20230227_9781801463591_34 |
| work_keys_str_mv | AT vanninenirene advancesininsectpestanddiseasemonitoringandforecastinginhorticulture |