Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
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Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
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Lingua: Portoghese
Editore: Independently published, 2019
ISBN 10: 1697654665 ISBN 13: 9781697654660
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Aggiungi al carrelloPaperback. Condizione: Brand New. 63 pages. 9.00x6.00x0.16 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing 2020-05-26, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Soursop (Anona muricata L.) Vell' is a tropical fruit which is very rich in vitamin C and fiber. It is widely consumed because of its anti cancer compound present in the fruit. However, there were three (3) highly pathogenic fungal pathogens attacking the plant namely: Colletotrichum gloeosporioides attacking the leaves, C. acutatum and Fusarium chalamydosporum that attack the fruits. The 3 fungal pathogens were identified molecularly through amplification of rDNA ITS region using species specific primers Cglnt for C. gloeosporioides, Cglnt2 for C. acutatum in combination with ITS4 universal primer and Ver ITS for Fusarium chalamydosporum. Based on fungicide assay, the three (3) plant pathogens were highly sensitive to Captan, Tebuconazole and Propiconazole + Difenoconazole.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Fungal Plant Pathogens Attacking Soursop (Annona muricata L.) Vell" | Ronaldo Alberto (u. a.) | Taschenbuch | 72 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786139981762 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2020, 2020
ISBN 10: 6202681330 ISBN 13: 9786202681339
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This field guide contains illustrations and descriptions of the major diseases and insect pests of onion in the Philippines. Also, attempt has been made to include specific management approaches which we believe could also work in other tropical areas. It is designed to aid in the identification of onion diseases and insect pests by the farmers, extension workers, agricultural advisors, agricultural scientists and agriculture students. This guide is not intended to be a diagnostic manual as the final disease diagnosis and insect pest identification should not be made on the basis of symptomatology and damage alone but still has to be confirmed by specialist in a diagnostic laboratory. References have been included to provide the reader with additional sources of information on each disease. The author welcome comments and corrections concerning the guide and solicit additional information including photographs of disease symptoms and insect pests and damage that could be used to enhance future editions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2019
ISBN 10: 3030074463 ISBN 13: 9783030074463
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 193,29
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Aggiungi al carrelloPaperback. Condizione: New. This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way.This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches.Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided.This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions. Softcover Reprint of the Original 1st 2018 ed.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 396 pages. 9.25x6.10x1.02 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2019
ISBN 10: 3030074463 ISBN 13: 9783030074463
Da: Rarewaves.com UK, London, Regno Unito
EUR 181,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way.This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches.Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided.This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions. Softcover Reprint of the Original 1st 2018 ed.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 26,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Soursop (Anona muricata L.) Vell' is a tropical fruit which is very rich in vitamin C and fiber. It is widely consumed because of its anti cancer compound present in the fruit. However, there were three (3) highly pathogenic fungal pathogens attacking the plant namely: Colletotrichum gloeosporioides attacking the leaves, C. acutatum and Fusarium chalamydosporum that attack the fruits. The 3 fungal pathogens were identified molecularly through amplification of rDNA ITS region using species specific primers Cglnt for C. gloeosporioides, Cglnt2 for C. acutatum in combination with ITS4 universal primer and Ver ITS for Fusarium chalamydosporum. Based on fungicide assay, the three (3) plant pathogens were highly sensitive to Captan, Tebuconazole and Propiconazole + Difenoconazole. 72 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202686308 ISBN 13: 9786202686303
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph gives a broad view of efforts of the ICCEM surveillance team on the application of Big Data in agriculture under Philippine settings. The availability of numerous satellite data sources, remote sensing technologies such as Light Detection and Ranging (LIDAR), spectroscopy, and the use of Unmanned Aerial Vehicle (UAV) have shown its great potential in obtaining earth surface information for classification and mapping. Moreover, these tools were proven to be very useful in obtaining updated geo-information, plant health status of the target areas as well as pests and diseases early warning tool to forewarn the community of the impending pests and disease outbreak. The field spectroscopy is another promising tool with a wide range of applications in agriculture since it can improve and replace the traditional method of obtaining physiological and biochemical parameters of crops which is normally done through laborious and expensive analysis. Instead, it can generate instantaneous results in a non- destructive and less labor intensive way. The application of Big Data in agriculture seem to be enormous that we scientists must take advantage. 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jul 2020, 2020
ISBN 10: 6202681330 ISBN 13: 9786202681339
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This field guide contains illustrations and descriptions of the major diseases and insect pests of onion in the Philippines. Also, attempt has been made to include specific management approaches which we believe could also work in other tropical areas. It is designed to aid in the identification of onion diseases and insect pests by the farmers, extension workers, agricultural advisors, agricultural scientists and agriculture students. This guide is not intended to be a diagnostic manual as the final disease diagnosis and insect pest identification should not be made on the basis of symptomatology and damage alone but still has to be confirmed by specialist in a diagnostic laboratory. References have been included to provide the reader with additional sources of information on each disease. The author welcome comments and corrections concerning the guide and solicit additional information including photographs of disease symptoms and insect pests and damage that could be used to enhance future editions. 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: moluna, Greven, Germania
EUR 24,56
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alberto RonaldoRonaldo T AlbertoPh.D, Plant Pathology, University of the Philippines Los BanosMS Plant Pathology, University of the Philippines Los BanosBSA Crop Protection, Central Luzon State UniversityAireen T OtanesMS Crop Protec.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202681330 ISBN 13: 9786202681339
Da: moluna, Greven, Germania
EUR 34,25
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alberto RonaldoObtained his BSA (Crop Protection) from CLSU, his Masteral and PhD from UP Los Banos. Awarded with several Post Doctoral researches in Onion diseases in USA, Germany, Switzerland and UP Diliman. He extended his researc.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 613998176X ISBN 13: 9786139981762
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 28,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Soursop (Anona muricata L.) Vell' is a tropical fruit which is very rich in vitamin C and fiber. It is widely consumed because of its anti cancer compound present in the fruit. However, there were three (3) highly pathogenic fungal pathogens attacking the plant namely: Colletotrichum gloeosporioides attacking the leaves, C. acutatum and Fusarium chalamydosporum that attack the fruits. The 3 fungal pathogens were identified molecularly through amplification of rDNA ITS region using species specific primers Cglnt for C. gloeosporioides, Cglnt2 for C. acutatum in combination with ITS4 universal primer and Ver ITS for Fusarium chalamydosporum. Based on fungicide assay, the three (3) plant pathogens were highly sensitive to Captan, Tebuconazole and Propiconazole + Difenoconazole.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202686308 ISBN 13: 9786202686303
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph gives a broad view of efforts of the ICCEM surveillance team on the application of Big Data in agriculture under Philippine settings. The availability of numerous satellite data sources, remote sensing technologies such as Light Detection and Ranging (LIDAR), spectroscopy, and the use of Unmanned Aerial Vehicle (UAV) have shown its great potential in obtaining earth surface information for classification and mapping. Moreover, these tools were proven to be very useful in obtaining updated geo-information, plant health status of the target areas as well as pests and diseases early warning tool to forewarn the community of the impending pests and disease outbreak. The field spectroscopy is another promising tool with a wide range of applications in agriculture since it can improve and replace the traditional method of obtaining physiological and biochemical parameters of crops which is normally done through laborious and expensive analysis. Instead, it can generate instantaneous results in a non- destructive and less labor intensive way. The application of Big Data in agriculture seem to be enormous that we scientists must take advantage.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This field guide contains illustrations and descriptions of the major diseases and insect pests of onion in the Philippines. Also, attempt has been made to include specific management approaches which we believe could also work in other tropical areas. It is designed to aid in the identification of onion diseases and insect pests by the farmers, extension workers, agricultural advisors, agricultural scientists and agriculture students. This guide is not intended to be a diagnostic manual as the final disease diagnosis and insect pest identification should not be made on the basis of symptomatology and damage alone but still has to be confirmed by specialist in a diagnostic laboratory. References have been included to provide the reader with additional sources of information on each disease. The author welcome comments and corrections concerning the guide and solicit additional information including photographs of disease symptoms and insect pests and damage that could be used to enhance future editions.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202686308 ISBN 13: 9786202686303
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph gives a broad view of efforts of the ICCEM surveillance team on the application of Big Data in agriculture under Philippine settings. The availability of numerous satellite data sources, remote sensing technologies such as Light Detection and Ranging (LIDAR), spectroscopy, and the use of Unmanned Aerial Vehicle (UAV) have shown its great potential in obtaining earth surface information for classification and mapping. Moreover, these tools were proven to be very useful in obtaining updated geo-information, plant health status of the target areas as well as pests and diseases early warning tool to forewarn the community of the impending pests and disease outbreak. The field spectroscopy is another promising tool with a wide range of applications in agriculture since it can improve and replace the traditional method of obtaining physiological and biochemical parameters of crops which is normally done through laborious and expensive analysis. Instead, it can generate instantaneous results in a non- destructive and less labor intensive way. The application of Big Data in agriculture seem to be enormous that we scientists must take advantage.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202686308 ISBN 13: 9786202686303
Da: preigu, Osnabrück, Germania
EUR 35,60
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. BIG DATA DRIVEN AGRICULTURE | PHILIPPINE PERSPECTIVE | Ronaldo Alberto (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202686303 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.