Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Application of Machine Learning Models in Agricultural and Meteorological Sciences, Mohammad Ehteram


Варианты приобретения
Цена: 22359.00р.
Кол-во:
 о цене
Наличие: Отсутствует. 
Возможна поставка под заказ. Дата поступления на склад уточняется после оформления заказа


Добавить в корзину
в Мои желания

Автор: Mohammad Ehteram
Название:  Application of Machine Learning Models in Agricultural and Meteorological Sciences
ISBN: 9789811997358
Издательство: Springer
Классификация:


ISBN-10: 9811997357
Обложка/Формат: Soft cover
Страницы: 196
Вес: 0.00 кг.
Дата издания: 06.04.2024
Язык: English
Издание: 2023 ed.
Иллюстрации: 70 illustrations, color; 4 illustrations, black and white; xi, 196 p. 74 illus., 70 illus. in color.
Размер: 235 x 155
Ключевые слова: Machine Learning,Atmospheric Science, Subsistence Agriculture
Основная тема: Mathematics and Statistics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this books advanced models.  Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
Дополнительное описание: The importance of agricultural and meteorological predictions.- Structure of Particle swarm optimization.- Structure of Shark optimization algorithm.- structure of sunflower optimization algorithm.- Structure of Henry ga



Application of Machine Learning Models in Agricultural and Meteorological Sciences

Автор: Ehteram
Название: Application of Machine Learning Models in Agricultural and Meteorological Sciences
ISBN: 9811997322 ISBN-13(EAN): 9789811997327
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.

Spatiotemporal Dynamics of Meteorological and Agricultural Drought in China

Автор: Yi Li
Название: Spatiotemporal Dynamics of Meteorological and Agricultural Drought in China
ISBN: 9819742137 ISBN-13(EAN): 9789819742134
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explores spatiotemporal analysis and impact assessment of agricultural drought in China and investigates the correlation coefficient between meteorological drought and agricultural drought. It then conducts multivariate frequency analysis of drought events using drought indices and copula functions. It aims to reveal spatiotemporal characteristics and impacts of agricultural drought in China both on vegetation phenology and productivity. The book assesses the performances of drought indices for better predicting multi-year droughts and return periods and drought risk assessment.

Multiprocessing in Meteorological Models

Автор: Geerd-R. Hoffmann; David F. Snelling
Название: Multiprocessing in Meteorological Models
ISBN: 3642832504 ISBN-13(EAN): 9783642832505
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Numerical weather prediction on the one hand needs a very large number of floating point calculations, but on the other hand is very time-critical. Since the available technology limits the speed of any single computer, parallel computations have become necessary to achieve further improvements in the number of results produced per time unit.

Meteorological Observations and Essays

Автор: Dalton
Название: Meteorological Observations and Essays
ISBN: 1108184480 ISBN-13(EAN): 9781108184489
Издательство: Cambridge Academ
Рейтинг:
Цена: 4277.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Published in 1793, this study of meteorological phenomena launched the scientific career of meteorologist and natural philosopher John Dalton. As well as his weather observations, this book also contains Dalton`s detailed descriptions of the instruments required for research and his speculations over the causes of weather phenomena.

Immeasurable Weather: Meteorological Data and Settler Colonialism from 1820 to Hurricane Sandy

Автор: Sara J. Grossman
Название: Immeasurable Weather: Meteorological Data and Settler Colonialism from 1820 to Hurricane Sandy
ISBN: 1478025026 ISBN-13(EAN): 9781478025023
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 3505.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In Immeasurable Weather Sara J. Grossman explores how environmental data collection has been central to the larger project of settler colonialism in the United States. She draws on an extensive archive of historical and meteorological data spanning two centuries to show how American scientific institutions used information about the weather to establish and reinforce the foundations of a white patriarchal settler society. Grossman outlines the relationship between climate data and state power in key moments in the history of American weather science, from the nineteenth-century public data-gathering practices of settler farmers and teachers and the automation of weather data during the Dust Bowl to the role of meteorological satellites in data science’s integration into the militarized state. Throughout, Grossman shows that weather science reproduced the natural world as something to be measured, owned, and exploited. This data gathering, she contends, gave coherence to a national weather project and to a notion of the nation itself, demonstrating that weather science’s impact cannot be reduced to a set of quantifiable phenomena.

Averaging of Meteorological Fields

Автор: R.L. Kagan; Lev S. Gandin; Thomas M. Smith
Название: Averaging of Meteorological Fields
ISBN: 9048149363 ISBN-13(EAN): 9789048149360
Издательство: Springer
Рейтинг:
Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Several averaging methods have been proposed by various scientists and are used on a regular basis to obtain data averaged in space orfand in time, to yield data which are less influenced by random factors than initial point data are.

Hydro-meteorological hazards, risks, and disasters

Автор: Paron, Paolo (senior Lecturer, Ihe Delft, Institute For Water Education, Delft, Netherlands)
Название: Hydro-meteorological hazards, risks, and disasters
ISBN: 0128191015 ISBN-13(EAN): 9780128191019
Издательство: Elsevier Science
Рейтинг:
Цена: 20212.00 р.
Наличие на складе: Нет в наличии.

Radar for Meteorological and Atmospheric Observations

Автор: Shoichiro Fukao; Kyosuke Hamazu; Richard Doviak
Название: Radar for Meteorological and Atmospheric Observations
ISBN: 4431547401 ISBN-13(EAN): 9784431547402
Издательство: Springer
Рейтинг:
Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Offering historical information that has seldom been related beyond a narrow community of researchers, this book shows how advances in meteorology and atmospheric science have been quickened by development of advance observational technologies.

Twenty Years on Ben Nevis

Автор: Kilgour
Название: Twenty Years on Ben Nevis
ISBN: 1108071988 ISBN-13(EAN): 9781108071987
Издательство: Cambridge Academ
Рейтинг:
Цена: 4277.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The meteorological observatory on Britain`s highest mountain, Ben Nevis, operated from 1883 until 1904, when it ran out of funding. The following year, William Kilgour published this illustrated account of his experiences during his time at the observatory, where he worked as an irregular member of staff for two decades.

Immeasurable Weather: Meteorological Data and Settler Colonialism from 1820 to Hurricane Sandy

Автор: Sara J. Grossman
Название: Immeasurable Weather: Meteorological Data and Settler Colonialism from 1820 to Hurricane Sandy
ISBN: 1478020059 ISBN-13(EAN): 9781478020059
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 13161.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In Immeasurable Weather Sara J. Grossman explores how environmental data collection has been central to the larger project of settler colonialism in the United States. She draws on an extensive archive of historical and meteorological data spanning two centuries to show how American scientific institutions used information about the weather to establish and reinforce the foundations of a white patriarchal settler society. Grossman outlines the relationship between climate data and state power in key moments in the history of American weather science, from the nineteenth-century public data-gathering practices of settler farmers and teachers and the automation of weather data during the Dust Bowl to the role of meteorological satellites in data science’s integration into the militarized state. Throughout, Grossman shows that weather science reproduced the natural world as something to be measured, owned, and exploited. This data gathering, she contends, gave coherence to a national weather project and to a notion of the nation itself, demonstrating that weather science’s impact cannot be reduced to a set of quantifiable phenomena.

Western Disturbances - An Indian Meteorological Perspective

Автор: A.P. Dimri; Amulya Chevuturi
Название: Western Disturbances - An Indian Meteorological Perspective
ISBN: 3319267353 ISBN-13(EAN): 9783319267357
Издательство: Springer
Рейтинг:
Цена: 14365.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book examines the meteorological phenomenon known as Western Disturbances (WDs) and traces their influence on the Indian subcontinent. In addition, coverage outlines how WDs interact with and influence other weather systems throughout the four seasons of Indian climate: winter, pre-monsoon, monsoon and post-monsoon.

Averaging of Meteorological Fields

Автор: R.L. Kagan; Lev S. Gandin; Thomas M. Smith
Название: Averaging of Meteorological Fields
ISBN: 079234801X ISBN-13(EAN): 9780792348016
Издательство: Springer
Рейтинг:
Цена: 23508.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Gives a comprehensive discussion of statistical averaging of meteorological fields, with assessments of associated errors. This work is intended for those conducting climate monitoring or climate change studies, which often require spatial averaging to detect slight changes.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия