Epidemiology and Control of Plant Diseases
This reprint is intended for a broad readership of phytopathologists. It includes different scientific contributions focused on many crucial aspects, such as the identification, characterization and rapid detection of plant diseases; predictive models and deep learning networks; and ecofriendly meas...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Vitale, Alessandro |4 edt | |
700 | 1 | |a Vitale, Alessandro |4 oth | |
245 | 1 | 0 | |a Epidemiology and Control of Plant Diseases |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (206 p.) | ||
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338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This reprint is intended for a broad readership of phytopathologists. It includes different scientific contributions focused on many crucial aspects, such as the identification, characterization and rapid detection of plant diseases; predictive models and deep learning networks; and ecofriendly measures for disease management. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
650 | 7 | |a Biology, life sciences |2 bicssc | |
650 | 7 | |a Technology, engineering, agriculture |2 bicssc | |
653 | |a leaf wetness | ||
653 | |a temperatures | ||
653 | |a validation | ||
653 | |a Venturia oleaginea | ||
653 | |a Coniella diplodiella | ||
653 | |a environmental factors | ||
653 | |a infection pathway | ||
653 | |a inoculum dose | ||
653 | |a incubation | ||
653 | |a commercial seed lots | ||
653 | |a Capsicum annuum | ||
653 | |a epidemiology | ||
653 | |a source of infection | ||
653 | |a outbreak | ||
653 | |a pathway | ||
653 | |a plant disease management | ||
653 | |a Solanum lycopersicum | ||
653 | |a Pectobacterium parmentieri | ||
653 | |a qPCR | ||
653 | |a bacterial taxonomy | ||
653 | |a bacterial identification | ||
653 | |a sensitivity | ||
653 | |a soft rot | ||
653 | |a pathogen detection | ||
653 | |a wilt | ||
653 | |a passion fruit | ||
653 | |a Fusarium oxysporum species complex | ||
653 | |a Thielaviopsis punctulata | ||
653 | |a date palm | ||
653 | |a black scorch disease | ||
653 | |a multi-locus phylogeny | ||
653 | |a anatomy | ||
653 | |a biotic stress | ||
653 | |a catalase | ||
653 | |a early blight | ||
653 | |a paclobutrazol | ||
653 | |a peroxidase | ||
653 | |a phytopathogens | ||
653 | |a disease index | ||
653 | |a antifungal | ||
653 | |a chlorophyll content | ||
653 | |a LAMP | ||
653 | |a OEGV | ||
653 | |a Geminiviridae | ||
653 | |a olive viruses | ||
653 | |a Jute | ||
653 | |a disease detection | ||
653 | |a deep learning | ||
653 | |a YOLO-JD | ||
653 | |a image processing | ||
653 | |a climate change | ||
653 | |a diversity | ||
653 | |a food security | ||
653 | |a multi-gene phylogeny | ||
653 | |a new species | ||
653 | |a plant pathology | ||
653 | |a taxonomy | ||
653 | |a legumes | ||
653 | |a metabolomics | ||
653 | |a stress tolerance | ||
653 | |a metabolome annotation | ||
653 | |a organic vineyards | ||
653 | |a sustainable management | ||
653 | |a powdery mildew | ||
653 | |a gray mold | ||
653 | |a sour rot | ||
653 | |a postharvest quality | ||
653 | |a contamination | ||
653 | |a health | ||
653 | |a infection | ||
653 | |a molecular techniques | ||
653 | |a selection | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/6961 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/98908 |7 0 |z DOAB: description of the publication |